| 2024 | 100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems. Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Junqiang Xi |
| 2024 | 2D-3D Cross-Modality Network for End-to-End Localization with Probabilistic Supervision. Jin Pan, Xiangru Mu, Tong Qin, Chunjing Xu, Ming Yang |
| 2024 | 360 LiDAR + 360 RGB + 360 Thermal: Multimodal Targetless Calibration. Khanh Bao Tran, Alexander Carballo, Kazuya Takeda |
| 2024 | 3D Can Be Explored In 2D : Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation. Andrew Caunes, Thierry Chateau, Vincent Frémont |
| 2024 | 3D-OutDet: A Fast and Memory Efficient Outlier Detector for 3D LiDAR Point Clouds in Adverse Weather. Abu Mohammed Raisuddin, Tiago Cortinhal, Jesper Holmblad, Eren Erdal Aksoy |
| 2024 | 3DSimDet: Simple yet Effective Semi-Supervised 3D Object Detector for Autonomous Driving. Jin-Hee Lee, Jae-Keun Lee, Je-Seok Kim, Soon Kwon |
| 2024 | A Bi-level Risk-constrained Optimization (BRO) Model for Autonomous Driving Trajectory Planning at On-ramp Areas Chen Chai, Rui Feng, Xianming Zeng, Haoyan Ren |
| 2024 | A Comfortable and Robust DRL-based Car-following Policy Incorporating Lateral Information under Cut-in Scenarios. Yifei Shen, Zhifei Yang, Weijia Lu, Wenfeng Shen, Zhou Lei |
| 2024 | A Comparison of Imitation Learning Pipelines for Autonomous Driving on the Effect of Change in Ego-vehicle. Noorsyamimi Abdur Ajak, Wee-Hong Ong, Owais Ahmed Malik |
| 2024 | A Comprehensive Benchmarking Study of Various Non-linear State Estimators for Vehicle Sideslip Angle Estimation. Gaël P. Atheupe, Bhagyashri Gurjar, Gordan Kongue, Adriana Tapus, Bruno Monsuez |
| 2024 | A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. Aotian Wu, Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka |
| 2024 | A Framework for Localization in a Ground Plan Map based on Radar Perception and Odometry Data. Tim Brühl, Felix Blahak, Robin Schwager, Lukas Ewecker, Tin Stribor Sohn, Sören Hohmann |
| 2024 | A Framework for Remotely Sharing Experimental Environments. Scott C. Livingston |
| 2024 | A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking. Robin Dehler, Martin Herrmann, Jan Strohbeck, Michael Buchholz |
| 2024 | A Lagrangian Relaxation Algorithm for the Drone Routing Problem with Backhauls and Wind. Ting Jiang, Riju Lavanya, Yihuai Liang, HanByul Ryu, Daisik Nam |
| 2024 | A Leading Cruise Controller for Autonomous Vehicles in Mixed Autonomy Based on Preference-Based Reinforcement Learning. Xiao Luke Wen, Sisi Jian, Dengbo He |
| 2024 | A LiDAR-based approach to autonomous racing with model-free reinforcement learning. Máté Hell, Gergely Hajgató, Ármin Bogár-Németh, Gergely Bári |
| 2024 | A Lightweight Implementation of Data Distribution Service (DDS) Incorporating Time Sensitive Networking (TSN) on the AUTOSAR Classic Platform. Zhouping Zhang, Ke Cui, Yuan Zhu, Chenming Jiang, Xiangxi Yao, Ke Lu |
| 2024 | A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users. Lucas Elbert Suryana, Sina Nordhoff, Simeon C. Calvert, Arkady Zgonnikov, Bart van Arem |
| 2024 | A Novel Array Calibration Method to Enhance Localization for Intelligent Vehicles. Luyao Du, Wei Chen, Xingzhuo Yan, Jing Ji, Bingming Tong, Wenwang Yang |
| 2024 | A Pseudo-Hierarchical Planning Framework with Dynamic-Aware Reinforcement Learning for Autonomous Driving. Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tengfei Zhang, Heng Zhang, Ruyang Li |
| 2024 | A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. Rainer Trauth, Alexander Hobmeier, Johannes Betz |
| 2024 | A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving. Ahmed Abouelazm, Jonas Michel, J. Marius Zöllner |
| 2024 | A Review on Scenario Generation for Testing Autonomous Vehicles. Jinkang Cai, Shichun Yang, Haoran Guang |
| 2024 | A Review on Trajectory Datasets on Advanced Driver Assistance System Equipped-vehicles. Hang Zhou, Ke Ma, Xiaopeng Li |
| 2024 | A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. Baha Zarrouki, Marios Spanakakis, Johannes Betz |
| 2024 | A Slip Parameter Prediction Method Based on a Fusion Framework of Nonlinear Observer and Machine Learning. Xiong Wu, Yingqi Tan, Boyang Wang, Haijie Guan, Lewei Feng, Yong Zhai, Haiou Liu, Huiyan Chen |
| 2024 | A Study of Reinforcement Learning Techniques for Path Tracking in Autonomous Vehicles. Jason Chemin, Ashley Hill, Eric Lucet, Aurélien Mayoue |
| 2024 | A Superalignment Framework in Autonomous Driving with Large Language Models. Xiangrui Kong, Thomas Bräunl, Marco Fahmi, Yue Wang |
| 2024 | A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges. Melih Yazgan, Thomas Graf, Min Liu, Tobias Fleck, J. Marius Zöllner |
| 2024 | A Virtual Sensing Module for Optimal Chassis Control: Tire Forces, SideSlip Angle, and Road Grip Inference. Younesse El Mrhasli, Gaël P. Atheupe, Bruno Monsuez, Xavier Mouton |
| 2024 | A dynamics model for Self-Propelled Modular Transporter. Zhenggan Cai, Chaozhong Wu, Yi He, Pu Shao |
| 2024 | A right-of-way allocation method for automated container terminals. Junqi Li, Hongchen Li, Lianhua An, Zhenghao Xu, Jia Hu |
| 2024 | AETrack: An Efficient Approach for Online Multi-Object Tracking. Xurui Wang, Yuxuan Han, Qingxiao Liu, Ji Li, Boyang Wang, Haiou Liu, Huiyan Chen |
| 2024 | AF-DQN: A Large-Scale Decision-Making Method at Unsignalized Intersections with Safe Action Filter and Efficient Exploratory Training Strategy. Kaifeng Wang, Qi Liu, Xueyuan Li, Fan Yang |
| 2024 | ATLS: Automated Trailer Loading for Surface Vessels. Amer Abughaida, Meet Gandhi, Jun Heo, Vaishnav Tadiparthi, Yosuke Sakamoto, Joohyun Woo, Sangjae Bae |
| 2024 | AUTODRAITEC: A Novel AI-based System on the Road Infrastructure for Autonomous Driving - Proof of Concept. Zine El Abidine Kherroubi, Fouzi Boukhalfa, Thierry Lestable |
| 2024 | AV-Occupant Perceived Risk Model for Cut-In Scenarios with Empirical Evaluation. Sarah Barendswaard, Tong Duy Son |
| 2024 | AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible. Zhijie Qiao, Mingyan Zhou, Zhijun Zhuang, Tejas Agarwal, Felix Jahncke, Po-Jen Wang, Jason Friedman, Hongyi Lai, Divyanshu Sahu, Tomás Nagy, Martin Endler, Jason Schlessman, Rahul Mangharam |
| 2024 | Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study. Frederik Werner, René Oberhuber, Johannes Betz |
| 2024 | AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention. Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang |
| 2024 | Accurate 6-DoF Motion Estimation for Irregular Moving Objects with Point Correlations. Hao Cao, Guanzhong Zhou, Hailong Huang |
| 2024 | ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. Ahmed Alaaeldin Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll |
| 2024 | Adaptive Mining of Failure Scenarios for Autonomous Driving Systems Based on Multi-population Genetic Algorithm. Yunwei Li, Siyu Wu, Hong Wang |
| 2024 | Addressing Mode Collapse in Trajectory Prediction: A Maneuver-Oriented Metric and Approach. Carlos Barajas, Gianoberto Giampieri, Stefano Sabatini, Nicola Poerio |
| 2024 | Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects. Corentin Bunel, Maxime Guériau, Alaa Daoud, Samia Ainouz, Gilles Gasso |
| 2024 | Advanced Curve Speed Planning with Sideslip and Rollover Prevention for Heavy Trucks. Jiahui Liu, Liang Wang, Yang Liu, Xiaobo Qu |
| 2024 | Advanced IDPS Architecture for Connected and Autonomous Vehicles. Sherin Kalli Valappil, Lars Vogel, Mohammad Hamad, Sebastian Steinhorst |
| 2024 | Advancing E/E Architecture Synthesis: A Perspective on Reliability Optimization and Hypervisor Integration. Thilo Müller, Hadi Askaripoor, Alois Knoll |
| 2024 | Alternating Direction Method of Multipliers Based Coordination Control of Multi-Vehicles and Traffic Signal. Jichen Zhu, Xiaoguang Yang, Yanqing Yang, Haoran Wang, Jinhao Liang, Zhenwu Fang |
| 2024 | An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction. Robin Schwager, Michael Grimm, Xin Liu, Lukas Ewecker, Tim Brühl, Tin Stribor Sohn, Sören Hohmann |
| 2024 | An Analysis on the Minimum Communication Distance for Safe Connected Brakes in Rural LOS Scenarios under IEEE 802.11p. Zhanle Zhao, Yuen Kwan Mo, Xizhe Zhang, Siddartha Khastgir, Matthew D. Higgins |
| 2024 | An Application Layer Multi-Hop Collective Perception Service for Vehicular Adhoc Networks. Vincent Albert Wolff, Edmir Xhoxhi, Felix Tautz |
| 2024 | An Architecture for Experiments in Connected and Automated Vehicles. Maximilian Kloock, Patrick Scheffe, Ole Greß, Bassam Alrifaee |
| 2024 | An End-to-End HRL-based Framework with Macro-Micro Adaptive Layer for Mixed On-Ramp Merging. Zoutao Wen, Huachun Tan, Bo Yu, Yanan Zhao |
| 2024 | An Initial Exploration of Employing Large Multimodal Models in Defending Against Autonomous Vehicles Attacks. Mohammed Aldeen, Pedram MohajerAnsari, Jin Ma, Mashrur Chowdhury, Long Cheng, Mert D. Pesé |
| 2024 | An Online Self-Correcting Calibration Architecture for Multi-Camera Traffic Localization Infrastructure. Leah Strand, Marcel Brucker, Venkatnarayanan Lakshminarasimhan, Alois Knoll |
| 2024 | An aggressive cornering framework for autonomous vehicles combining trajectory planning and drift control. Wangjia Weng, Cheng Hu, Zhouheng Li, Hongye Su, Lei Xie |
| 2024 | An eHMI Presenting Request-to-Intervene Status of Level 3 Automated Vehicles to Surrounding Vehicles. Masaki Kuge, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada |
| 2024 | Analysis of Terrain-Aware Optimal Path Planning Methods for Stable Off-Road Navigation. Minsung Yoon, Taegeun Yang, Chanmi Lee, Hyunsik Son, Sung-Eui Yoon |
| 2024 | Analyzing Take-over Event of Autonomous Vehicle for Driving Safety Evaluation. Hoseon Kim, Young Jo, Min-Kyung Kim, Cheol Oh, Seolyoung Lee |
| 2024 | Analyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control. Simon Sagmeister, Panagiotis Kounatidis, Sven Goblirsch, Markus Lienkamp |
| 2024 | Anti-bullying Adaptive Cruise Control. Zhexi Lian, Haoran Wang, Zihan Zhang, Ruoxi Qian, Duo Li, Jaehyun So, Jia Hu |
| 2024 | Artificial Haptic Cues as Assistance for Simplified Vehicle Operations in Advanced Air Mobility. Dominik Janetzko, Susanne Linner, Michael Zintl, Wei-De Hwang Fu, Klaus Bengler |
| 2024 | Assessing the safety benefits of CACC+ based coordination of connected and autonomous vehicle platoons in emergency braking scenarios. Guoqi Ma, Prabhakar R. Pagilla, Swaroop Darbha |
| 2024 | Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories. Hamidreza Mirkhani, Behzad Khamidehi, Kasra Rezaee |
| 2024 | Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems. Yun Tang, Antonio Anastasio Bruto da Costa, Patrick Irvine, Tudor Dodoiu, Yi Zhang, Xingyu Zhao, Siddartha Khastgir, Paul A. Jennings |
| 2024 | AutoKU: An Autonomous Driving System Design for the World's First Mass-Produced Vehicle in Multi-Vehicle Racing Environment. Yuseung Na, Soyeong Kim, Jiwon Seok, Jinsu Ha, Jeonghun Kang, Junhee Lee, Jaeyoung Jo, Jonghyun Lee, Hyunwook Kang, Jaehwan Lee, Kichun Jo |
| 2024 | Automated Driving in Production (ADP): Concept, Implementation and Further Potentials. Axel Sturm, Marcel Kascha, M. A. Mejri, Roman Henze, S. Jenzowsky, S. Abel, Laura Heister, A. Mueck |
| 2024 | Autonomous Intersection Management with Heterogeneous Vehicles: A Multi-Agent Reinforcement Learning Approach. Kaixin Chen, Bing Li, Rongqing Zhang, Xiang Cheng |
| 2024 | B-TMS: Bayesian Traversable Terrain Modeling and Segmentation Across 3D LiDAR Scans and Maps for Enhanced Off-Road Navigation. Minho Oh, Gunhee Shin, Seoyeon Jang, Seungjae Lee, Dongkyu Lee, Wonho Song, Byeongho Yu, Hyungtae Lim, Jaeyoung Lee, Hyun Myung |
| 2024 | BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight. Hang Wu, Zhenghao Zhang, Siyuan Lin, Tong Qin, Jin Pan, Qiang Zhao, Chunjing Xu, Ming Yang |
| 2024 | Balanced ICP for precise lidar odometry from non bilateral correspondences. Matteo Azzini, Ezio Malis, Philippe Martinet |
| 2024 | Balanced Training for the End-to-End Autonomous Driving Model Based on Kernel Density Estimation. Tong Yao, Wei Yuan, Songan Zhang, Chunxiang Wang |
| 2024 | Band-S: Secure Band to Evade Cram Attacks to Queuing Disciplines for Ethernet-based In-Vehicle Networks. Ho Kang, Changjo Cho, Sol Ahn, Jangho Shin, Sanghoon Jeon, Jong-Chan Kim |
| 2024 | Benchmarking the Performance of 5G CV2X for Connected Vehicles based Adaptive Traffic Signal. Mahbubul Alam Palash, Duminda Wijesekera |
| 2024 | Beyond Automation: Exploring Passenger Cooperation and Perception in Teleoperated Shared Automated Vehicles (SAVs). Bengt Escher, Jakob Peintner, Andreas Riener |
| 2024 | BloomNet: Perception of Blooming Effect in ADAS using Synthetic LiDAR Point Cloud Data. Satarupa Uttarkabat, Sarath Appukuttan, Kwanit Gupta, Satyajit Nayak, Patitapaban Palo |
| 2024 | Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check. Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang, Wenhao Chai, Cheng-Yen Yang, Hugo Latapie, Gaowen Liu, Bing-Fei Wu, Jenq-Neng Hwang |
| 2024 | Boundary Directional Feature Descriptor for LiDAR-OpenStreetMap Matching in Urban Scenarios. Zexing Li, Yafei Wang, Ruitao Zhang, Ruoyao Li, Yichen Zhang, Mingyu Wu |
| 2024 | CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a Unified Framework for Simulation and Module Development. Gemb Kaljavesi, Tobias Kerbl, Tobias Betz, Kirill Mitkovskii, Frank Diermeyer |
| 2024 | CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein |
| 2024 | CASPNet++: Joint Multi-Agent Motion Prediction. Maximilian Schäfer, Kun Zhao, Anton Kummert |
| 2024 | CGAN-based System Approach for Mapless Driving on Highways. Thomas Michalke, Sebastian Krauss |
| 2024 | CMD-SLAM: A Fast Low-bandwidth Centralized Multi-robot Direct Stereo SLAM. Zheng Jiang, Yunxiao Shan |
| 2024 | Camera Agnostic Two-Head Network for Ego-Lane Inference. Chaehyeon Song, Sungho Yoon, Minhyeok Heo, Ayoung Kim, Sujung Kim |
| 2024 | Camera-LiDAR Inconsistency Analysis for Active Learning in Object Detection. Esteban Rivera, Ana Clara Serra Do Nascimento, Markus Lienkamp |
| 2024 | Camera-based Mobility Framework for Visually Impaired Pedestrians in Unstructured Environments. Aditya Kumar, Anwesha Chakravarty, Ayesha Choudhary, S. Indu |
| 2024 | Can You See Me Now? Blind Spot Estimation for Autonomous Vehicles using Scenario-Based Simulation with Random Reference Sensors. Marc Uecker, J. Marius Zöllner |
| 2024 | Can cyberattacks on adaptive cruise control vehicles be effectively detected? Tianyi Li, Shian Wang, Mingfeng Shang, Raphael E. Stern |
| 2024 | Causal Discovery from Psychological States to Walking Behaviors for Pedestrians Interacting an APMV Equipped with eHMIs. Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada |
| 2024 | Causality-based Transfer of Driving Scenarios to Unseen Intersections. Christoph Glasmacher, Michael Schuldes, Sleiman El Masri, Lutz Eckstein |
| 2024 | Characterizing Road Maps for Vehicle Endurance Testing with Machine Learning. Bijin Muthiyackal Abraham, Christian Drescher, Daniel Markert, Ana Pérez Grassi, Alejandro Masrur |
| 2024 | Characterizing the Impact of Autonomous Vehicles on Macroscopic Fundamental Diagrams. Yan Huang, Yingjun Ye, Jian Sun, Ye Tian |
| 2024 | Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model. Yongqi Zhao, Wenbo Xiao, Tomislav Mihalj, Jia Hu, Arno Eichberger |
| 2024 | Cloud Control with Communication Delay Prediction for Intelligent Connected Vehicles Xinrui Zhang, Lu Xiong, Peizhi Zhang, Bo Leng, Yu Che |
| 2024 | Cloudy with a Chance of Green: Measuring the Predictability of 18, 009 Traffic Lights in Hamburg. Daniel Jeschor, Philipp Matthes, Thomas Springer, Sebastian Pape, Sven Fröhlich |
| 2024 | Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors. Alexander Fertig, Lakshman Balasubramanian, Michael Botsch |
| 2024 | Co-simulate no more: The CARLA V2X Sensor. Daniel Grimm, Marc Schindewolf, David Kraus, Eric Sax |
| 2024 | CoSense3D: an Agent-based Efficient Learning Framework for Collective Perception. Yunshuang Yuan, Monika Sester |
| 2024 | CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. Jiaying Guo, Long Cheng, Shen Wang |
| 2024 | Collaborative Perception Datasets in Autonomous Driving: A Survey. Melih Yazgan, Mythra Varun Akkanapragada, J. Marius Zöllner |
| 2024 | Collective Perception Datasets for Autonomous Driving: A Comprehensive Review. Sven Teufel, Jörg Gamerdinger, Jan-Patrick Kirchner, Georg Volk, Oliver Bringmann |
| 2024 | Combining Visual Saliency Methods and Sparse Keypoint Annotations to Create Object Representations for Providently Detecting Vehicles at Night. Lukas Ewecker, Lars Ohnemus, Robin Schwager, Stefan Roos, Tim Brühl, Sascha Saralajew |
| 2024 | CommonRoad-CARLA Interface: Bridging the Gap between Motion Planning and 3D Simulation. Sebastian Maierhofer, Matthias Althoff |
| 2024 | Communication Fault-Tolerant Cooperative Driving at On-Ramps: A Global Planning and Local Gaming Strategy. Zimin He, Jiawei Zhang, Huaxin Pei, Liang Feng, Danya Yao |
| 2024 | Comparative Study of Attention among Drivers with Varying Driving Experience. Bikram Adhikari, Zoran Duric, Duminda Wijesekera, Bo Yu |
| 2024 | Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios. Kyoungtae Ji, Sangjae Bae, Nan Li, Kyoungseok Han |
| 2024 | ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles. Kailin Tong, Selim Solmaz |
| 2024 | Connected and Automated Transportation System in Multi-agent Environment Ohay Angah, Yiran Zhang, Xuegang (Jeff) Ban |
| 2024 | Consensus-based vehicle platoon control considering human physiological-psychological comfort. Ling Liu, Hang Zhao, Yongfu Li, Longwang Huang, Xin Huang |
| 2024 | Context-compensated Probabilistic Pedestrian Detection. Tim Willems, Jan Aelterman, David Van Hamme |
| 2024 | ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions. Shounak Sural, Nishad Sahu, Ragunathan Raj Rajkumar |
| 2024 | Continuous multi-access communication for high-resolution low-latency V2X sensor streaming. Daniel Tappe, Alex Bendrick, Rolf Ernst |
| 2024 | Contrasting Disentangled Partial Observations for Pedestrian Action Prediction. Yan Feng, Alexander Carballo, Yingjie Niu, Kazuya Takeda |
| 2024 | Control Safety Function for Explicit Safety-Critical Control of Autonomous Vehicles. Dongyoon Kim, Sen Yang, Wenjun Zou, Bin Shuai, Dezhao Zhang, Fang Zhang, Chang Liu, Shengbo Eben Li |
| 2024 | Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting. Yiming Xu, Hao Cheng, Monika Sester |
| 2024 | CooperFuse: A Real-Time Cooperative Perception Fusion Framework. Zhaoliang Zheng, Xin Xia, Letian Gao, Hao Xiang, Jiaqi Ma |
| 2024 | Cooperative 3D Multi-Object Tracking for Connected and Automated Vehicles with Complementary Data Association. Hao Su, Shin'ichi Arakawa, Masayuki Murata |
| 2024 | Coordinated Motion Planning for Heterogeneous Autonomous Vehicles Based on Driving Behavior Primitives. Haijie Guan, Boyang Wang, Jianwei Gong, Huiyan Chen |
| 2024 | Cost-To-Go-Based Predictive Equivalent Consumption Minimization Strategy for Fuel Cell Vehicles Considering Route Information. Sandro Kofler, Stefan Jakubek, Christoph Hametner |
| 2024 | Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI. Junyue Jiang, Hongliang Lu, Chenxi Liu, Meixin Zhu, Yiran Chen, Hao (Frank) Yang |
| 2024 | Critical Test Cases Generalization for Autonomous Driving Object Detection Algorithms. Zhengmin Jiang, Jia Liu, Ming Sang, Huiyun Li, Yi Pan |
| 2024 | DART: A Compact Platform for Autonomous Driving Research Lorenzo Lyons, Thijs Niesten, Laura Ferranti |
| 2024 | DATraj: A Dynamic Graph Attention Based Model for Social-Aware Pedestrian Trajectory Prediction. Zeze Si, Peijun Ye, Gang Xiong, Yisheng Lv, Fenghua Zhu |
| 2024 | DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction. Younwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli |
| 2024 | DRIFT: Resilient Distributed Coordinated Fleet Management Against Communication Attacks. Richard Owoputi, Srivalli Boddupalli, Jabari Wilson, Sandip Ray |
| 2024 | DRVMon-VM: Distracted driver recognition using large pre-trained video transformers. Ricardo Pizarro, Luis Miguel Bergasa, Luis Baumela, José Miguel Buenaposada, Rafael Barea |
| 2024 | Data Limitations for Modeling Top-Down Effects on Drivers' Attention. Iuliia Kotseruba, John K. Tsotsos |
| 2024 | Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin |
| 2024 | Data-Driven Trajectory Tracking Control Algorithm Design for Fast Migration to Different Autonomous Vehicles. Yueming Cao, Zehong Ke, Shangyi Li, Shibin Zhao, Jianqiang Wang, Shaobing Xu |
| 2024 | Data-based optimisation of traffic flow simulations: A gradient based approach. Florian Lüttner, Benjamin Lickert, Mirjam Fehling-Kaschek, Robin Moss, Alexander Stolz |
| 2024 | De-Snowing Algorithm for Long-Wavelength LiDAR. Bharat Jayaprakash, Matthew Eagon, Lu Zhan, William F. Northrop |
| 2024 | Debunking the Myth of High Consumption: Power Realities in Autonomous Vehicles Marc Guerreiro Augusto, Jonas Benjamin Krug, Benjamin Acar, Fikret Sivrikaya, Sahin Albayrak |
| 2024 | Deception for Advantage in Connected and Automated Vehicle Decision-Making Games Hangyu Li, Heye Huang, Xiaotong Sun, Xiaopeng Li |
| 2024 | Decision Making for Autonomous Driving Stack: Shortening the Gap from Simulation to Real-World Implementations. Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López Guillén, Felipe Arango, Pedro A. Revenga, Luis Miguel Bergasa |
| 2024 | Dedicated Lane Planning for Autonomous Truck Fleets under Hours of Service Regulations. Zhaoming Zeng, Xiaotong Sun, Qi Luo |
| 2024 | Deep Generic Dynamic Object Detection Based on Dynamic Grid Maps. Rujiao Yan, Linda Schubert, Alexander Kamm, Matthias Komar, Matthias Schreier |
| 2024 | Deep Learning Based Road Boundary Detection Using Camera and Automotive Radar. Dipkumar Patel, Khalid Elgazzar |
| 2024 | Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping. Max Peter Ronecker, Xavier Diaz, Michael Karner, Daniel Watzenig |
| 2024 | Design and Maneuver of a Mobile Manipulator for Automated High-speed Electric Vehicle Charging. DongKyung Cheong, HyungSoo Do, BeomJin Lee, Jinhyeon Kim, HyeongKyun Park, SeungGyu Roh, Namkyu Kim |
| 2024 | Detecting Oncoming Vehicles at Night in Urban Scenarios - An Annotation Proof-Of-Concept. Lukas Ewecker, Niklas Wagner, Tim Brühl, Robin Schwager, Tin Stribor Sohn, Alexander Engelsberger, Jensun Ravichandran, Hanno Stage, Jacob Langner, Sascha Saralajew |
| 2024 | Detecting the Unexpected: A Safety Focused Multi-Task Approach Towards Unknown Object-Segmentation and Depth Estimation. Ravibhai Vaghasiya, Ali Kariminezhad, Christian Mayr, Sam Vadidar |
| 2024 | Detection and Analysis of Lane Wandering and Cut-Out Scenarios in Naturalistic Driving Data for Automated Driving Safety Assessment. Philip Wallis, Silvia Thal, Roman Henze, Hiroki Nakamura, Ryo Hasegawa, Sou Kitajima, Nobuyuki Uchida |
| 2024 | Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. Lennart Vater, Sven Tarlowski, Michael Schuldes, Lutz Eckstein |
| 2024 | Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection. Yongjie Fu, Mehmet Kerem Türkcan, Vikram Anantha, Zoran Kostic, Gil Zussman, Xuan Di |
| 2024 | Digital Twins for Early Verification and Validation of Autonomous Driving Features: Open-source Tools and Standard Formats. Beatriz Cabrero-Daniel, Ahmed Yasser Abdelkarim, Axel Broberg |
| 2024 | Discretionary Lane-Changing Decision Making Framework Combining Cumulative Prospect Theory and Discrete Choice Model. Wenbin Yao, Youwei Hu, Wei Ji, Xinyi Shen, Sheng Jin |
| 2024 | Distance to Empty Prediction of Electric Vehicles with Personalization of Driving Behavior. Haeseong Jeoung, Minkyu Han, Soo-Jong Hyeon, Jinsung Kim |
| 2024 | Distributed Adaptive Coordinated Control for High-Speed Trains with Input Saturation Based on RBFNN and Sliding Mode Control. Pengfei Sun, Qixuan Zhang, Youxing Guo, Qingyuan Wang, Xiaoyun Feng |
| 2024 | Divide and Conquer: A Systematic Approach for Industrial Scale High-Definition OpenDRIVE Generation from Sparse Point Clouds. Leon Eisemann, Johannes Maucher |
| 2024 | Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment. Amir Rasouli, Iuliia Kotseruba |
| 2024 | Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition Networks. Pablo Pardo-Decimavilla, Luis Miguel Bergasa, Santiago Montiel-Marín, Miguel Antunes, Angel Llamazares |
| 2024 | Domain-Invariant 3D Structural Convolutional Network for Autonomous Driving Point Cloud Dataset. Rohee Lee, Seonghoon Ryoo, Soomok Lee |
| 2024 | Drifting with Unknown Tires: Learning Vehicle Models Online with Neural Networks and Model Predictive Control. Nan Ding, Michael Thompson, James Dallas, Jonathan Y. M. Goh, John K. Subosits |
| 2024 | Drive as Veteran: Fine-tuning of an Onboard Large Language Model for Highway Autonomous Driving. Yujin Wang, Zhaoyan Huang, Quanfeng Liu, Yutong Zheng, Jinlong Hong, Junyi Chen, Lu Xiong, Bingzhao Gao, Hong Chen |
| 2024 | Driver Assistance Safe Driving Envelope Determination and Control. Runfeng Li, Weilong Liu, Yiwen Sun, Ziwang Lu, Guangyu Tian |
| 2024 | Driver Head Pose Estimation with Multimodal Temporal Fusion of Color and Depth Modeling Networks. Susmitha Gogineni, Carlos Busso |
| 2024 | Driving Behavior Analysis: A Human Factors Perspective on Automated Driving Styles. Jakob Peintner, Chantal Himmels, Teresa Rock, Carina Manger, Oliver Jung, Andreas Riener |
| 2024 | Driving Behavior Primitive Optimization and Inter-Primitive Game Coordinated Control for Trajectory Tracking Applications. Xinping Li, Boyang Wang, Haijie Guan, Yuxuan Han, Haiou Liu, Huiyan Chen |
| 2024 | Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning. Xiaoyun Qiu, Yue Pan, Meixin Zhu, Liuqing Yang, Xinhu Zheng |
| 2024 | Driving Towards Safety: Open Challenges in Safeguarding CPS-IoT for Cooperative Intelligent Transportation System. Min Hee Jo, Peter Schneider, Alexey Vinel |
| 2024 | Driving the Future: Addressing Generational Trust and Ownership Barriers in the Adoption of Connected and Autonomous Vehicles. Clare Mutzenich, Fergus McVey, Ceiré Martin, Claire Harding |
| 2024 | Dual-Level Control Strategy for Vehicle Lateral and Longitudinal Path Following Based on Model Predictive Control. Shuai Ma, Yunwen Xu, Dewei Li, Yang Yang |
| 2024 | Dynamic Risk Assessment: Leveraging Ensemble Learning for Context-Specific Risk Features. Anil Ranjitbhai Patel, Kunjkumar Thummar, Peter Liggesmeyer |
| 2024 | E-MLP: Effortless Online HD Map Construction with Linear Priors. Ruikai Li, Hao Shan, Han Jiang, Jianru Xiao, Yizhuo Chang, Yifan He, Haiyang Yu, Yilong Ren |
| 2024 | E-reID: An e-bike re-identification system based on multi-object instance segmentation and retrieval. Kaixuan Cong, Yifan Wang, Jing Yang, Zi Yang, Longyan Wang |
| 2024 | E-scooter Crash Data Analysis towards E-scooter Automatic Emergency Braking System Design and Validation for Automated Vehicles. Diwas Thapa, Syed Mohammad Adil, Lingxi Li, Sabyasachee Mishra, Renran Tian, Stanley Y. P. Chien, Yaobin Chen, Rini Sherony |
| 2024 | E2E Parking: Autonomous Parking by the End-to-end Neural Network on the CARLA Simulator. Yunfan Yang, Denglong Chen, Tong Qin, Xiangru Mu, Chunjing Xu, Ming Yang |
| 2024 | EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu |
| 2024 | Eco-driving under localization uncertainty for connected vehicles on Urban roads: Data-driven approach and Experiment verification. Eunhyek Joa, Eric Yongkeun Choi, Francesco Borrelli |
| 2024 | Effect of format of presentation on remote assistance of automated vehicles. Clare Mutzenich, Shaun Helman, Szonya Durant, Doga Gulhan, Polly Dalton |
| 2024 | Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection. Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu |
| 2024 | Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network. Min-Hyeok Sun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong |
| 2024 | Efficient Collaborative Multi-Agent Driving via Cross-Attention and Concise Communication. Qingyi Liang, Zhengmin Jiang, Jianwen Yin, Lei Peng, Jia Liu, Huiyun Li |
| 2024 | Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae |
| 2024 | Efficient and Unbiased Safety Test for Autonomous Driving Systems. Zhengmin Jiang, Jia Liu, Huiyun Li, Yi Pan |
| 2024 | Enabling Cooperative Pedestrian-Vehicle Interactions using an eHMI. Markus Amann, Malte Probst, Raphael Wenzel, Thomas H. Weisswange |
| 2024 | End-to-end Cooperative Localization via Neural Feature Sharing. Letian Gao, Hao Xiang, Xin Xia, Jiaqi Ma |
| 2024 | Enhanced Model-Free Predictor for Latency Compensation in Remote Driving Systems. Lin Zhao, Mikael Nybacka, Malte Rothhämel, Jonas Mårtensson |
| 2024 | Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques. Song Lian, Bin Zhou, Simon Hu, Jianghan Hu, Gaoang Wang, José Escribano, Xiaoxiang Na, Sheng Jin |
| 2024 | Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille |
| 2024 | Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles. Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Jiang (Linda) Xie, Zhu Han |
| 2024 | Enhancing Accuracy and Robustness of Steering Angle Prediction with Attention Mechanism. Swetha Nadella, Pramiti Barua, Jeremy C. Hagler, David J. Lamb, Qing Tian |
| 2024 | Enhancing Electric Vehicle Energy Consumption Prediction: Integrating Elevation into Machine Learning Model. Lin Wang, Yong Yang, Kuan Zhang, Yuan Liu, Jinhua Zhu, Daping Dang |
| 2024 | Enhancing Motion Prediction by a Cooperative Framework. Javier Araluce, Alberto Justo, Asier Arizala, Leonardo González, Sergio E. Diaz |
| 2024 | Enhancing Power Net Efficiency with Data-Driven Consumption Prediction - A Machine Learning Approach. Julian Müller, Florian Schuchter, Daniel Brauneis, Georg Frey |
| 2024 | Enhancing Road Safety: Predictive Modeling of Accident-Prone Zones with ADAS-Equipped Vehicle Fleet Data. Ravi Shankar Mishra, Dev Singh Thakur, Anbumani Subramanian, Mukti Advani, S. Velmurugan, Juby Jose, C. V. Jawahar, Ravi Kiran Sarvadevabhatla |
| 2024 | Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. Pierre Haritz, David Wanke, Thomas Liebig |
| 2024 | Enhancing Truck Platooning Mobility by Cutting Through Traffic Like a Snake: Methodology and Field Test Analysis. Haoran Wang, Jia Hu, Yongwei Feng |
| 2024 | Ensuring Safety at Intelligent Intersections: Temporal Logic Meets Reachability Analysis. Kaj Munhoz Arfvidsson, Frank J. Jiang, Karl Henrik Johansson, Jonas Mårtensson |
| 2024 | Environment Constraint Force Enhanced On-Road Multi-Vehicle Tracking Using Millimeter-Wave Radar. Yunlian Tian, Wujun Li, Xi Cao, Jiaye Yang, Wei Yi |
| 2024 | Envy-based Parcel Delivery Workload Balancing Problem Considering Drivers Stated Preferences. HanByul Ryu, Riju Lavanya, Ting Jiang, Daisik Nam |
| 2024 | Estimating Complexity for Perception-based ADAS in Unstructured Road Environments. Imane Taourarti, Ayesha Choudhary, Vivek Kumar Paswan, Aditya Kumar, Arunkumar Ramaswamy, Javier Ibañez-Guzmán, Bruno Monsuez, Adriana Tapus |
| 2024 | Evaluation of Connected Vehicle Identification-Aware Mixed Traffic Freeway Cooperative Merging. Haoji Liu, Fatemeh Jahedinia, Zeyu Mu, B. Brian Park |
| 2024 | Evaluation of Local Planner-Based Stanley Control in Autonomous RC Car Racing Series. Máté Fazekas, Zalán Demeter, János Tóth, Ármin Bogár-Németh, Gergely Bári |
| 2024 | Evaluation of the Safety Shell Architecture for Automated Driving in a Realistic Simulator. C. A. J. Hanselaar, Yuting Fu, Andrei Terechko, Jochen Seemann, Tim Beurskens, Emilia Silvas, W. P. M. H. Heemels |
| 2024 | Evolutionary Image Quality Monitoring for ADAS under Adverse Weather. Juan D. González, Mirko Mählisch |
| 2024 | Examining Trust's Influence on Autonomous Vehicle Perceptions. Liang Tang, Masooda N. Bashir |
| 2024 | Examining the Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory. Kexin Liang, Simeon C. Calvert, Sina Nordhoff, Hans van Lint |
| 2024 | Experimental Validation of Yaw Stability Control Strategies for Articulated Vehicle Combinations. Umur Erdinc, Mats Jonasson, Maliheh Sadeghi Kati, Leo Laine, Bengt Jacobson, Jonas Fredriksson |
| 2024 | Exploring Generative AI for Sim2Real in Driving Data Synthesis. Haonan Zhao, Yiting Wang, Thomas Bashford-Rogers, Valentina Donzella, Kurt Debattista |
| 2024 | Exploring Realism in Virtual Testing: Towards a Scalable Platform Using Open-Source Solutions for Automated Driving Systems. Peter Baker, Joseph Mitchell, Emil Chodowiec, Xizhe Zhang, Siddartha Khastgir, Paul A. Jennings |
| 2024 | Exploring Turbulence Impact on Passenger Experience in Urban Air Mobility: Insights from a Virtual Reality Study. Henrike Böck, Patricia B. Appel, Lena Maria Eisenmann, Larissa Kaiser, Andreas Riener |
| 2024 | Extended Abstract: An Attention-Guided Multistream Feature Fusion Network for Early Localization of Risky Traffic Agents in Driving Videos. Muhammad Monjurul Karim, Zhaozheng Yin, Ruwen Qin |
| 2024 | Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. Julian F. Schumann, Jens Kober, Arkady Zgonnikov |
| 2024 | Extending Low-Speed Cutoff Point During Regenerative Braking of Electric Vehicles Through Energy Loss Minimization. Deepa M. K, Srikanthan Sridharan, Shankar C. Subramanian |
| 2024 | FMAD: Fusion-based Multimodal Abnormal Detection Scheme for Vehicular Communications. Van-Linh Nguyen, Lan-Huong Nguyen, Hao-En Ting |
| 2024 | FMS: Enhancing Fleet Management Scheme with Long Term Low-Latency V2X Services and Edge-based Video Stream Analytics. Kashish Mahajan, Oshin Rawlley, Shashank Gupta, Shikhar Singh |
| 2024 | Fast 3D Object Detection for 4D Imaging Radar integrating Image Map features using Semi-supervised Learning. Keisuke Yoneda, Ranju Shiraki, Keigo Hariya, Hiroki Inoshita, Ryo Yanase, Naoki Suganuma |
| 2024 | Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations. Leon Tolksdorf, Christian Birkner, Arturo Tejada, Nathan van de Wouw |
| 2024 | Fast Multi-Class Vehicle Cooperative Path Optimization in Complex Urban V2X Transportation: A Novel Parallel Multi-Agent Reinforcement Learning Approach. Shitao Chen, Shuyang Cai, Ziheng Tang, Donghe Li, Nanning Zheng |
| 2024 | Fast maneuver recovery from aerial observation: trajectory clustering and outliers rejection. Nelson de Moura, Augustin Gervreau-Mercier, Fernando Garrido, Fawzi Nashashibi |
| 2024 | Feature and Extrapolation Aware Uncertainty Quantification for AI-based State Estimation in Automated Driving. Daniel Pölzleitner, Julian Ruggaber, Jonathan Brembeck |
| 2024 | Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity. Shu Li, Jingxuan Yang, Honglin He, Yi Zhang, Jianming Hu, Shuo Feng |
| 2024 | Few-Shot Semantic Segmentation for Complex Driving Scenes. Jingxing Zhou, Ruei-Bo Chen, Jürgen Beyerer |
| 2024 | First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems. Rui Song, Andreas Festag, Abhishek Dinkar Jagtap, Maximilian Bialdyga, Zhiran Yan, Maximilian Otte, Sanath Tiptur Sadashivaiah, Alois Knoll |
| 2024 | FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz |
| 2024 | Forecasting Semantic Bird-Eye-View Maps for Autonomous Driving. Shuang Gao, Qiang Wang, David Navarro-Alarcon, Yuxiang Sun |
| 2024 | Formulating a dissimilarity metric for comparison of driving scenarios for Automated Driving Systems. Bharath Bhaskar Mahadikar, Nishant Rajesh, Kevin Tom Kurian, Erjen Lefeber, Jeroen Ploeg, Nathan van de Wouw, Mohsen Alirezaei |
| 2024 | Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation. Ruiping Liu, Jiaming Zhang, Kunyu Peng, Yufan Chen, Ke Cao, Junwei Zheng, M. Saquib Sarfraz, Kailun Yang, Rainer Stiefelhagen |
| 2024 | Fundamental Rules of Teleoperated Driving with Network Latency on Curvy Roads. Xunbi A. Ji, Sergei S. Avedisov, Mohammad Irfan Khan, M. Carmen Lucas-Estañ, Baldomero Coll-Perales, Illés Vörös, Onur Altintas, Gábor Orosz |
| 2024 | GAFB-Mapper: Ground aware Forward-Backward View Transformation for Monocular BEV Semantic Mapping. Jiangtong Zhu, Yibo Yuan, Zhuo Yin, Yang Zhou, Shizhen Li, Jianwu Fang, Jianru Xue |
| 2024 | GAN-Based Domain Adaptation for Creating Digital Twins of Small-Scale Driving Testbeds: Opportunities and Challenges. Sangeet Sankaramangalam Ulhas, Shenbagaraj Kannapiran, Spring Berman |
| 2024 | GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction. Yuhao Luo, Kehua Chen, Meixin Zhu |
| 2024 | GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments. Nouhed Naidja, Marc Revilloud, Stéphane Font, Guillaume Sandou |
| 2024 | Galibr: Targetless LiDAR-Camera Extrinsic Calibration Method via Ground Plane Initialization. Wonho Song, Minho Oh, Jaeyoung Lee, Hyun Myung |
| 2024 | Gaze Supervision for Mitigating Causal Confusion in Driving Agents. Abhijat Biswas, Badal Arun Pardhi, Caleb Chuck, Jarrett Holtz, Scott Niekum, Henny Admoni, Alessandro Allievi |
| 2024 | Generation of Ego-Liable Hazardous-Test-Cases for Validating Automated Driving Systems in Junction-Scenes. Yizhou Xie, Yong Zhang, Chengliang Yin, Kunpeng Dai |
| 2024 | Globally Optimal GNSS Multi-Antenna Lever Arm Calibration. Thomas Wodtko, Michael Buchholz |
| 2024 | Goal-Aware RSS for Complex Scenarios via Program Logic. Ichiro Hasuo, Clovis Eberhart, James Haydon, Jérémy Dubut, Rose Bohrer, Tsutomu Kobayashi, Sasinee Pruekprasert, Xiao-Yi Zhang, Erik André Pallas, Akihisa Yamada, Kohei Suenaga, Fuyuki Ishikawa, Kenji Kamijo, Yoshiyuki Shinya, Takamasa Suetomi |
| 2024 | Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection. Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu |
| 2024 | Graph Attention Based Feature Fusion For Collaborative Perception. Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar |
| 2024 | Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior. Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller |
| 2024 | Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation. Alessandro Toschi, Nicola Musiu, Francesco Gatti, Ayoub Raji, Francesco Amerotti, Micaela Verucchi, Marko Bertogna |
| 2024 | Guiding Attention in End-to-End Driving Models. Diego Porres, Yi Xiao, Gabriel Villalonga, Alexandre Levy, Antonio M. López |
| 2024 | HINT: Learning Complete Human Neural Representations from Limited Viewpoints. Alessandro Sanvito, Andrea Ramazzina, Stefanie Walz, Mario Bijelic, Felix Heide |
| 2024 | HSTR: Hierarchical Scene Transformer for Multi-agent Trajectory Prediction. Shuaiqi Fu, Yixuan Yang, Xiaoyang Luo, Changhao Chen, Yanan Zhao, Huachun Tan |
| 2024 | HackCar: a test platform for attacks and defenses on a cost-contained automotive architecture. Dario Stabili, Filip Valgimigli, Edoardo Torrini, Mirco Marchetti |
| 2024 | Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models. Yi Yang, Qingwen Zhang, Kei Ikemura, Nazre Batool, John Folkesson |
| 2024 | Harmonizing Multi-lane Traffic Flows Using Low-penetrated Cooperative Intelligent Vehicles. Md. Abdus Samad Kamal, A. S. M. Bakibillah, Tomohisa Hayakawa, Kou Yamada, Jun-ichi Imura |
| 2024 | HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene. Ziang Guo, Stepan Perminov, Mikhail Konenkov, Dzmitry Tsetserukou |
| 2024 | Heterogeneous Data Fusion for Accurate Road User Tracking: A Distributed Multi-Sensor Collaborative Approach. Simone Mentasti, Alessandro Barbiero, Matteo Matteucci |
| 2024 | Heterogeneous Vehicle Motion Planning Considering Multiple Differentiated Characteristic Constraints. Haijie Guan, Boyang Wang, Xinping Li, Ji Li, Huiyan Chen |
| 2024 | Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration. Sanghyeon Nam, Hyejin Lee, Youngki Kim, Kyoung Hyun Kwak, Kyoungseok Han |
| 2024 | Hierarchical Uncertainty-aware Autonomous Driving in Lane-changing Scenarios: Behavior Prediction and Motion Planning. Ruoyu Yao, Xiaotong Sun |
| 2024 | High Speed Emulation in a Vehicle-in-the-Loop Driving Simulator. Elliot Weiss, J. Christian Gerdes |
| 2024 | High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. Chenyu Zhang, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | High-Speed Maneuvering and Spread Target Detection in High-Resolution Radar. Yunlian Tian, Wujun Li, Xi Cao, Wei Yi |
| 2024 | High-performance Racing on Unmapped Tracks using Local Maps. Benjamin David Evans, Hendrik Willem Jordaan, Herman Arnold Engelbrecht |
| 2024 | Holistic Driver Monitoring: A Multi-Task Approach for In-Cabin Driver Attention Evaluation through Multi-Camera Data. Patitapaban Palo, Satyajit Nayak, Durga Nagendra Raghava Kumar Modhugu, Kwanit Gupta, Satarupa Uttarkabat |
| 2024 | Homotopic Optimization for Autonomous Vehicle Maneuvering. Jian Zhou, Arvind Balachandran, Björn Olofsson, Lars Nielsen, Erik Frisk |
| 2024 | How Well Do Drivers Adapt to Remote Operation? Learning from Remote Drivers with On-Road Experience. Benjamin Hardin, Pericle Salvini, Marina Jirotka, Lars Kunze |
| 2024 | Human-Like Reverse Parking using Deep Reinforcement Learning with Attention Mechanism. Zhuo Qiu, Shitao Chen, Jiamin Shi, Fei Wang, Nanning Zheng |
| 2024 | Human-like Guidance by Generating Navigation Using Spatial-Temporal Scene Graph. Hayato Suzuki, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Shota Okubo, Nanri Takuya, Wang Siyuan |
| 2024 | HyGenPed: A Hybrid Procedural Generation Approach in Pedestrian Trajectory Modeling in Arbitrary Crosswalk Area. Golam Md Muktadir, Xuyuan Cai, Jim Whitehead |
| 2024 | ICOP: Image-based Cooperative Perception for End-to-End Autonomous Driving. Lantao Li, Yujie Cheng, Chen Sun, Wenqi Zhang |
| 2024 | IEEE Intelligent Vehicles Symposium, IV 2024, Jeju Island, Republic of Korea, June 2-5, 2024 |
| 2024 | IMU-based Online Multi-lidar Calibration. Sandipan Das, Bengt Boberg, Maurice F. Fallon, Saikat Chatterjee |
| 2024 | Illegal Parking Detection Based on Multi-Task Driving Perception. Li-Chia Kuo, Huei-Yung Lin |
| 2024 | Impact of Connected and Automated Vehicles on Transport Injustices. Laura Martinez-Buelvas, Andry Rakotonirainy, Deanna Grant-Smith, Oscar Oviedo-Trespalacios |
| 2024 | Improved Task and Motion Planning for Rearrangement Problems using Optimal Control Anja Hellander, Kristoffer Bergman, Daniel Axehill |
| 2024 | Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles. Xianda Chen, PakHin Tiu, Yihuai Zhang, Meixin Zhu, Xinhu Zheng, Yinhai Wang |
| 2024 | In Search for Better Road Surface Condition Estimation - Using Non-Road Image Region Hasith Karunasekera, Jonas Sjöberg |
| 2024 | In Search of Social Presence: Evoking an Impression of Real Pedestrian Behavior Using Motion Capture Chantal Himmels, Jakob Peintner, Carina Manger, Teresa Rock, Oliver Jung, Andreas Riener |
| 2024 | In-Mold Heat Radiating Simulation and Verification of In-Mold Electronics. Li-Wei Yao, Yi-Rong Lin, Chun-Chun Lai, Hsiao-Fen Wei, Chung-Wei Wang |
| 2024 | Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles. Shahin Atakishiyev, Mohammad Salameh, Randy Goebel |
| 2024 | Incorporating Human Factors into Scenario Languages for Automated Driving Systems. Tudor Dodoiu, Antonio Anastasio Bruto da Costa, Siddartha Khastgir, Paul A. Jennings |
| 2024 | Incremental Learning-Based Real-Time Trajectory Prediction for Autonomous Driving via Sparse Gaussian Process Regression. Haichao Liu, Kai Chen, Jun Ma |
| 2024 | Independent Near-Field Monitoring: A Novel Approach to Improve Active Safety in Autonomous Vehicles. Junnan Pan, Prodromos Sotiriadis, Ferdinand Englberger |
| 2024 | Influence of AVC and HEVC compression on detection of vehicles through Faster R-CNN. Pak Hung Chan, Anthony Huggett, Georgina Souvalioti, Paul Jennings, Valentina Donzella |
| 2024 | Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios. Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis |
| 2024 | Infrastructure-guided Optimal Spacing for Vehicles Approaching Intersections. Yoojin Choi, Minhee Kang, Heejin Ahn |
| 2024 | Integrating Intrinsic Reasoning and Negotiation Mechanisms in Driver-Driver Social Interactions Juhui Gim, Changsun Ahn |
| 2024 | Integrating occlusion awareness in urban motion prediction for enhanced autonomous vehicle navigation. Vinicius Trentin, Juan Felipe Medina Lee, Antonio Artuñedo, Jorge Villagra |
| 2024 | Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic. Dongryul Kim, Hyeonjeong Kim, Kyoungseok Han |
| 2024 | Interaction-aware Trajectory Prediction for Opponent Vehicle in High Speed Autonomous Racing. Sungwon Nah, Jihyeok Kim, Chanhoe Ryu, David Hyunchul Shim |
| 2024 | Interaction-aware model predictive control for automated vehicles in mixed-autonomy traffic. Mingfeng Shang, Shian Wang, Tianyi Li, Raphael E. Stern |
| 2024 | Interconnected Traffic Forecasting Using Time Distributed Encoder-Decoder Multivariate Multi-Step LSTM. Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar |
| 2024 | Internet of UAVs to Automate Search and Rescue Missions in Post-Disaster for Smart Cities. Haishi Liu, Yung Po Tsang, Carman K. M. Lee, Yutong Wang, Fei-Yue Wang |
| 2024 | Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning. Yijia Li, Hao Qi, Fenghua Zhu, Yisheng Lv, Peijun Ye |
| 2024 | Inverse Reinforcement Learning with Dynamic Occupancy Grid Map for Urban Local Path Planning: A CNN Model Approach. Geontak Lee, Soongyu Kim, Dayeon Seo, Yeonsik Kang |
| 2024 | Inverse Reinforcement Learning with Failed Demonstrations towards Stable Driving Behavior Modeling. Minglu Zhao, Masamichi Shimosaka |
| 2024 | Investigating Drivers' Awareness of Pedestrians Using Virtual Reality towards Modeling the Impact of External Factors. Vinu Vijayakumaran Nair, Markus Rehmann, Stephan de la Rosa, Cristóbal Curio |
| 2024 | Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. Marc Kaufeld, Rainer Trauth, Johannes Betz |
| 2024 | Investigating eVTOL Passenger Preferences in South Korea: Safety, Vertiport Location, and Weight. Patricia B. Appel, Ye Eun Song, Andreas Riener |
| 2024 | Joint Route Optimization of Electric Modular Buses and Mobile Charging Vehicles Considering Charging-on-the-move. Xin Li, Chengen Xie, Yun Yuan |
| 2024 | KI-PMF: Knowledge Integrated Plausible Motion Forecasting. Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner |
| 2024 | Knowledge-based explainable pedestrian behavior predictor. Angie Nataly Melo, Luis Felipe Herrera-Quintero, Carlota Salinas, Miguel Ángel Sotelo |
| 2024 | Koopman Operator Approach Data-Driven Optimal Control Algorithm for Autonomous Vehicles with various characteristics. Hakjoo Kim, Hwan-Hong Lee, Seok-Cheol Kee |
| 2024 | LOGIC: LiDAR-Only Geometric-Intensity Channel-based Drivable Area Estimation in Urban Environments. Juan Luis Hortelano, Víctor Jiménez-Bermejo, Jorge Villagra |
| 2024 | LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion. Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, Bing Zhu |
| 2024 | Label-Efficient 3D Object Detection For Road-Side Units. Minh-Quan Dao, Holger Caesar, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Vincent Frémont, Ezio Malis |
| 2024 | LaneDAG: Automatic HD Map Topology Generator Based on Geometry and Attention Fusion Mechanism. Peijin Jia, Tuopu Wen, Ziang Luo, Zheng Fu, Jiaqi Liao, Huixian Chen, Kun Jiang, Mengmeng Yang, Diange Yang |
| 2024 | LaneMapNet: Lane Network Recognization and HD Map Construction Using Curve Region Aware Temporal Bird's-Eye-View Perception. Tianyi Zhu, Jianghao Leng, Jiaru Zhong, Zhang Zhang, Chao Sun |
| 2024 | Last Mile Delivery with Autonomous Shuttles: ROS-based Integration of Smart Cargo Cages. Sven Ochs, Nico Lambing, Ahmed Abouelazm, Marc René Zofka, J. Marius Zöllner |
| 2024 | Lateral Velocity Estimation Utilizing Transfer Learning Characteristics by a Hybrid Data-mechanism-driven Model. Guoying Chen, Jun Yao, Zhenhai Gao, Yongqiang Zhao, Changsheng Liu, Shunhui Song, Min Hua |
| 2024 | Learning Based Model Predictive Path Tracking Control for Autonomous Buses. Mo Han, Hongwen He, Jianfei Cao, Jingda Wu, Wei Liu, Man Shi |
| 2024 | Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun |
| 2024 | Learning Demands for Ride-pooling Services: A Case Study in Berlin. Martin Aleksandrov |
| 2024 | Learning Realistic and Reactive Traffic Agents. Meixin Zhu, Di Chen, Xinyi Yuan, Zhiwei Shang, Chenxi Liu |
| 2024 | Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi |
| 2024 | Lidar-Assisted Hitch Angle Estimation System for Self-Driving Truck. Wei Luo, Cansen Jiang, Qian Zhang, Zhichen Pan, Liang Heng |
| 2024 | LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving. Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, Yu Qiao |
| 2024 | Long-term Map Management in Degraded Scenarios Based on Pose Reference and Information Density. Ruoyao Li, Yafei Wang, Zexing Li, Yichen Zhang, Ruitao Zhang |
| 2024 | Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors. Andreas Reich, Mirko Mählisch |
| 2024 | MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction. Marlon Steiner, Marvin Klemp, Christoph Stiller |
| 2024 | MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly. Raphaël Chekroun, Thomas Gilles, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde |
| 2024 | MIMP: Modular and Interpretable Motion Planning Framework for Safe Autonomous Driving in Complex Real-world Scenarios. Carlos Fernando Coelho Valadares, Piero Macaluso, Grzegorz Bartyzel, Maciej Dziubinski, Christopher Koeppen, Gabriel Anunciação Kopte, Janusz Twardak, Francesco Vincelli, Nicola Poerio |
| 2024 | MLF3D: Multi-Level Fusion for Multi-Modal 3D Object Detection. Han Jiang, Jianbin Wang, Jianru Xiao, Yanan Zhao, Wanqing Chen, Yilong Ren, Haiyang Yu |
| 2024 | MRS ArduPilot: An Adaptive ArduPilot Architecture Based on Model Reference Stabilization. Danping Sun, Peng Li, Xin Xia, Di Liu, Simone Baldi |
| 2024 | MSTF: Multiscale Transformer for Incomplete Trajectory Prediction. Zhanwen Liu, Chao Li, Nan Yang, Yang Wang, Jiaqi Ma, Guangliang Cheng, Xiangmo Zhao |
| 2024 | MacDC: Masking-augmented Collaborative Domain Congregation for Multi-target Domain Adaptation in Semantic Segmentation. Fei Pan, Dong He, Xu Yin, Chenshuang Zhang, Munchurl Kim |
| 2024 | Minimising Missed and False Alarms: A Vehicle Spacing based Approach to Conflict Detection. Yiru Jiao, Simeon C. Calvert, Hans van Lint |
| 2024 | Misbehaviour Detection System for Intelligent Speed Assistance (ISA). Pedro F. V. Oliveira, B. F. Wissingh, J. Van De Sluis, E. G. Broenink, M. M. T. J. De Kruijf, Z. Domagala-Schmidt |
| 2024 | Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems. Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen |
| 2024 | Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis. Vincent Albert Wolff, Edmir Xhoxhi |
| 2024 | Mixed integer programming of joint optimization of signal timing and phasing and vehicle trajectories under mixed traffic environment. Yihe Chen, Keqiang Li, Pengfei Li, Jia Shi, Junkai Jiang, Yugong Luo |
| 2024 | Mobile device's PDR Application Using CNN Based SpeedNet and GNSS Fusion. Yang Tsu Cheng, Lu Yang En, Wu Ting Jun, Kai-Wei Chiang |
| 2024 | Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope. Nicolas Lampe, Simon F. G. Ehlers, Karl-Philipp Kortmann, Clemens Westerkamp, Thomas Seel |
| 2024 | Modeling and Control for Dynamic Drifting Trajectories. Trey P. Weber, J. Christian Gerdes |
| 2024 | Modeling the Lane-Change Reactions to Merging Vehicles for Highway On-Ramp Simulations. Dustin Holley, Jovin D'sa, Hossein Nourkhiz Mahjoub, Gibran Ali, Tyler Naes, Ehsan Moradi-Pari, Pawan Sai Kallepalli |
| 2024 | Monocular 3D Object Detection from Roadside Infrastructure. Delu Huang, Feng Wen |
| 2024 | Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method. Guodong Du, Yuan Zou, Xudong Zhang, Kaiyu Zhao |
| 2024 | Motion Dynamic RRT based Fluid Field - PPO for Dynamic TF/TA Routing Planning. Rongkun Xue, Jing Yang, Yuyang Jiang, Yiming Feng, Zi Yang |
| 2024 | Motion Planner for Automated Vehicle on Unstructured Roads. Mingyue Lei, Jia Hu, Sijin Liu, Jintao Lai |
| 2024 | Motion Planning at Intersections with Safe Differential Games based on Control Barrier Function. Peng Yi, Wenyuan Wang, Qingwen Liu, Yiguang Hong |
| 2024 | Multi-Vehicle Collaborative Lane Changing Based on Multi-Agent Reinforcement Learning. Xiang Zhang, Shihao Li, Boyang Wang, Mingxuan Xue, Zhiwei Li, Haiou Liu |
| 2024 | Multi-View Radar Autoencoder for Self-Supervised Automotive Radar Representation Learning. Haoran Zhu, Haoze He, Anna Choromanska, Satish Ravindran, Binbin Shi, Lihui Chen |
| 2024 | Multi-lane Formation Control in Mixed Traffic Environment. Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Lei Zhang, Keqiang Li, Jianqiang Wang |
| 2024 | Multi-modes Torque Distribution Strategy Based on Maneuverable Stability Region for Distributed Drive Electric Vehicles. Xin Bai, Tong Shen, Fanxun Wang, Ruiqi Fang, Ang Li, Guodong Yin |
| 2024 | MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein |
| 2024 | NavPathNet: Onboard Trajectory Prediction for Two-Wheelers using Navigation Maps. Fabian Immel, Alessandro Moia, Haohao Hu |
| 2024 | Negotiation in Cooperative Maneuvering using Conflict Analysis: Theory and Experimental Evaluation. Hao M. Wang, Sergei S. Avedisov, Onur Altintas, Gábor Orosz |
| 2024 | Neural-Dynamics-Based Active Steering Control for Autonomous Vehicles with Noises. Ying Liufu, Long Jin, Fei-Yue Wang |
| 2024 | Obstacle-sensitive Semantic Bird-Eye-View Map Generation with Boundary-aware Loss for Autonomous driving. Shuang Gao, Qiang Wang, Yuxiang Sun |
| 2024 | Offline Tracking with Object Permanence. Xianzhong Liu, Holger Caesar |
| 2024 | On the Co-Design of Components and Racing Strategies in Formula 1. Marc-Philippe Neumann, Gioele Zardini, Alberto Cerofolini, Christopher Harald Onder |
| 2024 | Online Identification of Operational Design Domains of Automated Driving System Features Aniket Salvi, Gereon Weiss, Mario Trapp |
| 2024 | Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control. Hang Zhou, Heye Huang, Peng Zhang, Haotian Shi, Keke Long, Xiaopeng Li |
| 2024 | Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors. Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick |
| 2024 | OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching. Shi Meng, Bin Tian, Xiaotong Zhang, Shuangying Qi, Caiji Zhang, Qiang Zhang |
| 2024 | Operational Cost Optimization of Delivery Fleets Consisting of Mobile Robots and Electric Trucks. Hyunjin Ahn, Huihai Wang, Ji Hwan Park, Xingyu Zhou, Junfeng Jiao, Junmin Wang |
| 2024 | Optimal Feature Subset Selection Verification Strategy for Coordinated Lane Change Scenario of Intelligent Connected Vehicle. Yunhao Hu, Yugong Luo, Shurui Guan, Jia Shi, Keqiang Li |
| 2024 | Optimization of Multi-Function Vehicle Bus Scheduling Table Based on Multi-Strategy Hybrid Whale Optimization Algorithm. Hu Wu, Xinning Li, Xianhai Yang |
| 2024 | Optimized Design of Driver-Assisted Navigation System for Complex Road Scenarios. Xiaolong Zhang, Yang Bian, Jushang Ou, Xiaohua Zhao, Jianling Huang, Yuheng Li |
| 2024 | OptimusLine: Consistent Road Line Detection Through Time. Paolo Cudrano, Simone Mentasti, Riccardo Erminio Filippo Cortelazzo, Matteo Matteucci |
| 2024 | Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. Korbinian Möller, Rainer Trauth, Johannes Betz |
| 2024 | PGO-IPM: Enhance IPM Accuracy with Pose-guided Optimization for Low-cost High-definition Angular Marking Map Generation. Hongji Liu, Linwei Zheng, Xiaoyang Yan, Zhenhua Xu, Bohuan Xue, Yang Yu, Ming Liu |
| 2024 | Panoptic Segmentation from Stitched Panoramic View for Automated Driving. Christian Kinzig, Henning Miller, Martin Lauer, Christoph Stiller |
| 2024 | PedAnalyze - Pedestrian Behavior Annotator and Ontology. Taorui Huang, Golam Md Muktadir, Srishti Sripada, Rishi Saravanan, Amelia Yuan, Jim Whitehead |
| 2024 | Pedestrian Groups Matter: Unraveling their Impact on Pedestrian Crossings when Interacting with an Automated Vehicle. Maximilian Hübner, Martina Baude, Klaus Bengler |
| 2024 | Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets. Afnan Alofi, Ross Greer, Akshay Gopalkrishnan, Mohan M. Trivedi |
| 2024 | Personalized Context-Aware Multi-Modal Transportation Recommendation. Xianda Chen, Meixin Zhu, PakHin Tiu, Yinhai Wang |
| 2024 | Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving. Steffen Hagedorn, Marcel Milich, Alexandru Paul Condurache |
| 2024 | Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. Xiangru Mu, Tong Qin, Songan Zhang, Chunjing Xu, Ming Yang |
| 2024 | Planning and tracking for safe autonomous overtaking and abort overtaking through a model predictive controller. Ishu Jaiswal, Ekansh Saraf, Arpita Sinha |
| 2024 | Point Cloud Automatic Annotation Framework for Autonomous Driving. Chaoran Zhao, Bo Peng, Takuya Azumi |
| 2024 | Post-correlation Identification of GNSS Spoofing based on Spiking Neural Network. Siqi Wang, Jiang Liu, Baigen Cai, De-Biao Lu |
| 2024 | Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection. Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont, Mao Shan, Elwan Héry, Stewart Worrall |
| 2024 | Pre-pruned Distillation for Point Cloud-based 3D Object Detection. Fuyang Li, Chen Min, Liang Xiao, Dawei Zhao, Shubin Si, Hanzhang Xue, Yiming Nie, Bin Dai |
| 2024 | Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer |
| 2024 | Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings. Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger |
| 2024 | Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors. Daniel Weihmayr, Fatih Sezgin, Leon Tolksdorf, Christian Birkner, Reza N. Jazar |
| 2024 | Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency. Manuel Muñoz Sánchez, Chris van der Ploeg, Robin Smit, Jos Elfring, Emilia Silvas, René van de Molengraft |
| 2024 | Probabilistic Relative Pose Calibration for Object-Level Multi-Agent Cooperative Perception. Hailiang Zhang, Zhiying Song, Fuxi Wen |
| 2024 | Proposal for Reproducible and Practical Drowsiness Indices. Takuya Sakata, Koichiro Yamauchi, Takahiro Karumi, Takuhiro Omi, Shunichiroh Sawai |
| 2024 | Provably Correct Safety Protocol for Cooperative Platooning. Sebastian Mair, Matthias Althoff |
| 2024 | RCAFusion: Cross Rubik Cube Attention Network for Multi-modal Image Fusion of Intelligent Vehicles. Ang Li, Guodong Yin, Ziwei Wang, Jinhao Liang, Fanxun Wang, Xin Bai, Zhichao Liu |
| 2024 | REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls. Yuri Poledna, Maikol Funk Drechsler, Valentina Donzella, Pak Hung Chan, Pierre Duthon, Werner Huber |
| 2024 | RGANFormer: Relativistic Generative Adversarial Transformer for Time-Series Signal Forecasting on Intelligent Vehicles. Yang Xing, Xiangqi Kong, Antonios Tsourdos |
| 2024 | RSG-Search Plus: An Advanced Traffic Scene Retrieval Methods based on Road Scene Graph. Yafu Tian, Alexander Carballo, Ruifeng Li, Simon Thompson, Kazuya Takeda |
| 2024 | RWT-SLAM: Robust Visual SLAM for Weakly Textured Environments. Qihao Peng, Xijun Zhao, Ruina Dang, Zhiyu Xiang |
| 2024 | Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning. Huilin Yin, Shengkai Su, Yinjia Lin, Pengju Zhen, Karin Festl, Daniel Watzenig |
| 2024 | Real-Time Terrain-Aware Path Optimization for Off-Road Autonomous Vehicles. Runqi Qiu, Zhiyang Ju, Xiaojie Gong, Xi Zhang, Gang Tao, Jianwei Gong |
| 2024 | Real-life implementation and Testing of Infrastructure-Assisted Routing Recommendations. Martin Rudigier, Kailin Tong, Selim Solmaz, Georg Nestlinger |
| 2024 | Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution. Samuel Sze, Lars Kunze |
| 2024 | Real-time Environment Condition Classification for Autonomous Vehicles. Marco Introvigne, Andrea Ramazzina, Stefanie Walz, Dominik Scheuble, Mario Bijelic |
| 2024 | Redundant Control for Dual-Motor Steer-By-Wire Vehicles using Adaptive Nonsingular Fast Terminal Sliding Mode. Xiaoxia He, Junzhi Zhang, Chengkun He, Weilong Liu, Minghui Chen |
| 2024 | Reinforcement Learning with Communication Latency with Application to Stop-and-Go Wave Dissipation. Alex Richardson, Xia Wang, Abhishek Dubey, Jonathan Sprinkle |
| 2024 | Reliability-Based Global Path Planning under Uncertainty for Off-Road Autonomous Ground Vehicles. Jianhua Yin |
| 2024 | Rethinking Masked-Autoencoder-Based 3D Point Cloud Pretraining. Nuo Cheng, Chuanyu Luo, Xinzhe Li, Ruizhi Hu, Han Li, Sikun Ma, Zhong Ren, Haipeng Jiang, Xiaohan Li, Shengguang Lei, Pu Li |
| 2024 | Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection. Michael Kösel, Marcel Schreiber, Michael Ulrich, Claudius Gläser, Klaus Dietmayer |
| 2024 | Risk Analysis in Vehicle and Electric Scooter Interaction. Zhitong He, Yiyang Guo, Yaobin Chen, Brian King, Lingxi Li |
| 2024 | Robot-Grabber Cooperative Localization under Highly Dynamic Clearing Operation of Bulk Carriers. Hanbiao Xiao, Jie Meng, Zhaozheng Hu, Hengtao Tan |
| 2024 | RobotCycle: Assessing Cycling Safety in Urban Environments. Efimia Panagiotaki, Tyler Reinmund, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Wayne Tubby, Matthew Towlson, Samuel Sze, Brian Liu, Chris Prahacs, Daniele De Martini, Lars Kunze |
| 2024 | Robots Saving Lives: A Literature Review About Search and Rescue (SAR) in Harsh Environments. Kailin Tong, Yuxi Hu, Berin Dikic, Selim Solmaz, Friedrich Fraundorfer, Daniel Watzenig |
| 2024 | Robust 3D Object Detection Based on Point Feature Enhancement in Driving Scenes. Renjie Chen, Dongbo Zhang, Qinrui Liu, Jing Li |
| 2024 | Robust Optimization of Multi-train Energy-efficient and Safe-separation Operation Considering Uncertainty in Train Dynamics. Mo Chen, Nikolce Murgovski, Pengfei Sun, Qingyuan Wang, Xiaoyun Feng |
| 2024 | Robust Path Tracking Control for Off-Road Autonomous Vehicle via System Level Synthesis. Seongil Hong, Gyuhyun Park |
| 2024 | Robust and Efficient Curvilinear Coordinate Transformation with Guaranteed Map Coverage for Motion Planning. Gerald Würsching, Matthias Althoff |
| 2024 | Robustness in trajectory prediction for autonomous vehicles: a survey. Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, Arkady Zgonnikov |
| 2024 | Rule-Compliant Multi-Agent Driving Corridor Generation using Reachable Sets and Combinatorial Negotiations. Tobias Mascetta, Edmond Irani Liu, Matthias Althoff |
| 2024 | SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction. Huilin Yin, Jiaxiang Li, Pengju Zhen, Jun Yan |
| 2024 | SAM-PS: Zero-shot Parking-slot Detection based on Large Visual Model. Heng Zhai, Jilin Mei, Liang Chen, Fangzhou Zhao, Xijun Zhao, Yu Hu |
| 2024 | SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction. Iuliia Kotseruba, John K. Tsotsos |
| 2024 | SEECAD: Semantic End-to-End Communication for Autonomous Driving. Soheyb Ribouh, Abdenour Hadid |
| 2024 | SF3D: SlowFast Temporal 3D Object Detection. Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez |
| 2024 | SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles. Qi Liu, Yujie Tang, Xueyuan Li, Fan Yang, Xin Gao, Zirui Li |
| 2024 | SITAR: Evaluating the Adversarial Robustness of Traffic Light Recognition in Level-4 Autonomous Driving. Bo Yang, Jinqiu Yang |
| 2024 | SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar. Jianan Liu, Qiuchi Zhao, Weiyi Xiong, Tao Huang, Qing-Long Han, Bing Zhu |
| 2024 | SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki |
| 2024 | SUMO2Unity: An Open-Source Traffic Co-Simulation Tool to Improve Road Safety. Ahmad Mohammadi, Peter Y. Park, Mehdi Nourinejad, Muhammed Shijas Babu Cherakkatil, Hyun Sun Park |
| 2024 | SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving. Benjamin Stoler, Ingrid Navarro, Meghdeep Jana, Soonmin Hwang, Jonathan Francis, Jean Oh |
| 2024 | Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception. Santiago Gerling Konrad, Julie Stephany Berrio, Mao Shan, Favio R. Masson, Eduardo M. Nebot, Stewart Worrall |
| 2024 | Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows. Georg Rabenstein, Lars Ullrich, Knut Graichen |
| 2024 | Sampling-Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks. Levent Ögretmen, Matthias Rowold, Alexander Langmann, Boris Lohmann |
| 2024 | Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions. Hansung Kim, Siddharth H. Nair, Francesco Borrelli |
| 2024 | Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis. Longfei Han, Qiuyu Xu, Klaus Kefferpütz, Ying Lu, Gordon Elger, Jürgen Beyerer |
| 2024 | Scalable Remote Operation for Autonomous Vehicles: Integration of Cooperative Perception and Open Source Communication. Martin Gontscharow, Jens Doll, Albert Schotschneider, Daniel Bogdoll, Stefan Orf, Johannes Jestram, Marc René Zofka, J. Marius Zöllner |
| 2024 | Scalable Supervisory Architecture for Autonomous Race Cars. Zalán Demeter, Péter Bogdán, Ármin Bogár-Németh, Gergely Bári |
| 2024 | Scalable Traffic Simulation for Autonomous Driving via Multi-Agent Goal Assignment and Autoregressive Goal-Directed Planning. Xiaoyu Mo, Haochen Liu, Zhiyu Huang, Jianwu Fang, Jianru Xue, Chen Lv |
| 2024 | Scene-Extrapolation: Generating Interactive Traffic Scenarios. Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner |
| 2024 | Segmentation-assisted Multi-frame Radar Target Detection Network in Clutter Traffic Scenarios. Yiru Lin, Xinwei Wei, Xi Cao, Zhiyuan Zou, Wei Yi |
| 2024 | Self-Assessment for Multi-Object Tracking Based on Subjective Logic. Thomas Griebel, Nikolas Dehler, Alexander Scheible, Michael Buchholz, Klaus Dietmayer |
| 2024 | Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems. Tong Xiang, Hongxia Zhao, Fenghua Zhu, Yuanyuan Chen, Yisheng Lv |
| 2024 | Self-configuring motion planner for automated vehicles based on human driving styles. Juan Felipe Medina Lee, Antonio Artuñedo, Jorge Godoy, Vinicius Trentin, Jorge Villagra |
| 2024 | SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations. Narayanan Elavathur Ranganatha, Hengyuan Zhang, Shashank Venkatramani, Jing-Yan Liao, Henrik I. Christensen |
| 2024 | Semantic Understanding of Traffic Scenes with Large Vision Language Models. Sandesh Rajendra Jain, Surendrabikram Thapa, Kuan-Ting Chen, A. Lynn Abbott, Abhijit Sarkar |
| 2024 | SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions. Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Alexander Meissner, Klaus Dietmayer |
| 2024 | Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection. Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy |
| 2024 | Sequential Convex Programming Methods for Real-time Optimal Trajectory Planning in Autonomous Vehicle Racing. Patrick Scheffe, Theodor Mario Henneken, Maximilian Kloock, Bassam Alrifaee |
| 2024 | Shared Control Up To The Limits of Vehicle Handling. John Talbot, J. Christian Gerdes |
| 2024 | Should Altruistic Deception of HAVs be Permitted? A Case Study of Unprotected Left Turns under EHMI Application. Linkun Liu, Yiru Liu, Ye Tian, He Zhang |
| 2024 | Should Teleoperation Be like Driving in a Car? Comparison of Teleoperation HMIs. Maria-Magdalena Wolf, Richard Taupitz, Frank Diermeyer |
| 2024 | Shuttle2X -Overcoming Operational Borders of Autonomous Shuttles by Infrastructure Support. Melih Yazgan, Jennifer Amritzer, Tobias Fleck, Marc Rene Zofka, J. Marius Zoellner, Florian Alexander Schiegg, Johannes Müller, Keno Garlichs, Mihai Kocsis, Johannes Buyer, Raoul Zoellner |
| 2024 | Signal Detection Method Based on Data Characteristics in Vehicular Ad Hoc Networks. Yi Li, Shuangshuang Han, Shichao Chen |
| 2024 | Signal Timing Optimization by VarGA: Case Study. Elena A. Sofronova, Askhat I. Diveev |
| 2024 | SimBusters: Bridging Simulation Gaps in Intelligent Vehicles Perception. Alberto Justo, Javier Araluce, Javier Romera, Mario Rodriguez-Arozamena, Leonardo González, Sergio E. Diaz |
| 2024 | Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework. Gerald Würsching, Tobias Mascetta, Yuanfei Lin, Matthias Althoff |
| 2024 | Simulating Road Spray Effects in Automotive Lidar Sensor Models. Dominik Scheuble, Clemens Linnhoff, Mario Bijelic, Lukas Elster, Philipp Rosenberger, Werner Ritter, Hermann Winner |
| 2024 | Simulation Framework of Misbehavior Detection and Mitigation for Collective Perception Services. Jiahao Zhang, Inès Ben Jemaa, Fawzi Nashashibi |
| 2024 | Simulation and Detection of Bus-Off Attacks in CAN. Jo Laufenberg, Heiner Graser, Thomas Kropf, Oliver Bringmann |
| 2024 | Simulation-based Analysis of a Novel Loop-based Road Topology for Autonomous Vehicles. Stefan Ramdhan, Winnie Trandinh, Sathurshan Arulmohan, Xiayong Hu, Spencer Deevy, Victor Bandur, Vera Pantelic, Mark Lawford, Alan Wassyng |
| 2024 | Small-Scale Testbed for Evaluating C-V2X Applications on 5G Cellular Networks. Kaj Munhoz Arfvidsson, Kleio Fragkedaki, Frank J. Jiang, Vandana Narri, Hans-Cristian Lindh, Karl Henrik Johansson, Jonas Mårtensson |
| 2024 | Spatiotemporal Analysis of Shared Situation Awareness among Connected Vehicles. Seungmo Kim |
| 2024 | Specification-Compliant Reachability Analysis for Autonomous Vehicles Using On-the-Fly Model Checking. Florian Lercher, Matthias Althoff |
| 2024 | Speed Up! Cost-Effective Large Language Model for ADAS Via Knowledge Distillation. Pittawat Taveekitworachai, Pratch Suntichaikul, Chakarida Nukoolkit, Ruck Thawonmas |
| 2024 | State-constrained Multi-agent Cooperative Adaptive Control and its Application in Multi-train System. Youxing Guo, Mo Chen, Xiaoyun Feng, Pengfei Sun, Qingyuan Wang |
| 2024 | Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell |
| 2024 | StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection. Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar, Markus Enzweiler |
| 2024 | Structured Bird's-Eye View Road Scene Understanding from Surround Video. Peng Jia, Jianwei Gong, Yahui Jiang, Yuchun Wang, Yubo Zhang, Zhiyang Ju |
| 2024 | SynthoGestures: A Multi-Camera Framework for Generating Synthetic Dynamic Hand Gestures for Enhanced Vehicle Interaction. Amr Gomaa, Robin Zitt, Guillermo Reyes, Antonio Krüger |
| 2024 | System-Level Test Case Generation and Execution for Distributed Cooperative Unmanned Aerial Systems. David K. Marson, Diana Deldar, Alexander Pretschner |
| 2024 | TIAND: A Multimodal Dataset for Autonomy on Indian Roads. Nitish Kumar, Abhilash S, Abhishek Thakur, Omkarthikeya Gopi, Ayush Dasgupta, Arpitha Algole, Bhaskar Anand, Venkata Satyanand Mutnuri, D. Santhosh Reddy, Naga Praveen Babu Mannam, Srikanth Saripalli, Rajalakshmi Pachamuthu |
| 2024 | TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation. Gustavo Salazar-Gomez, WenQian Liu, Manuel Diaz-Zapata, David Sierra González, Christian Laugier |
| 2024 | TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules. Kumar Manas, Stefan Zwicklbauer, Adrian Paschke |
| 2024 | Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving. Yang Zhao, Jingyu Du, Ruoyu Deng, Hong Cheng |
| 2024 | Temporal Enhanced Floating Car Observers. Jeremias Gerner, Klaus Bogenberger, Stefanie Schmidtner |
| 2024 | Test-Driven Inverse Reinforcement Learning Using Scenario-Based Testing. Johannes Fischer, Moritz Werling, Martin Lauer, Christoph Stiller |
| 2024 | Testing Cellular Vehicle-to-Everything Communication Performance and Feasibility in Automated Vehicles Zhaohui Liang, Jihun Han, Xiaopeng Li, Dominik Karbowski, Chengyuan Ma, Aymeric Rousseau |
| 2024 | The Emerging Intelligent Vehicles and Intelligent Vehicle Carriers Collaborative Systems. Zhipeng Shen, Chao Huang, Hailong Huang, Yutong Wang, Fei-Yue Wang, Abbas Jamalipour, Duc Truong Pham, Ljubo B. Vlacic, Andrey V. Savkin |
| 2024 | The Good, the Sparse, and the Ugly: Investigating the Impact of Corrupted HD-Map Features on Ego-Vehicle Localization. Lukas Beer, Thorsten Luettel, Mirko Mählisch |
| 2024 | The Optimal Horizon Model Predictive Control Planning for Autonomous Vehicles in Dynamic Environments. Yuming Liu, Shitao Chen, Jiamin Shi, Nanning Zheng |
| 2024 | The Parallel Scheduling Vehicle Routing Problem for Multimodal Package Delivery. Marcella M. Kaplan, Kevin P. Heaslip |
| 2024 | The Surface Accelerations Reference - A Large-scale, Interactive Catalog of Passenger Vehicle Accelerations. Gibran Ali, Shane McLaughlin, Mehdi Ahmadian |
| 2024 | The role of task-switching cost in remote operation of driverless vehicle fleet Yanbin Wu, Fumie Sugimoto, Ken Kihara, Motohiro Kimura, Takemasa Yokoyama, Yuji Takeda, Naohisa Hashimoto |
| 2024 | Timescale Graph-Parallel Computation and Mechanism Analysis of Economical Predictive Driving for Commercial Trucks. Jinlong Hong, Lulu Guo, Xiaoxiang Na, Xianning Li, Hongqing Chu, Bingzhao Gao, Hong Chen |
| 2024 | Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons |
| 2024 | Towards Human-Like Autonomous Vehicles: A Qualitative Evaluation and Design Perspective. Jemin Woo, Changsun Ahn |
| 2024 | Towards Long-Range 3D Object Detection for Autonomous Vehicles. Ajinkya Khoche, Laura Pereira Sánchez, Nazre Batool, Sina Sharif Mansouri, Patric Jensfelt |
| 2024 | Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction. Wenbo Shao, Jiahui Xu, Wenhao Yu, Jun Li, Hong Wang |
| 2024 | Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. Piyush Gupta, David Isele, Sangjae Bae |
| 2024 | Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving. Felix Grün, Marcus Nolte, Markus Maurer |
| 2024 | Towards a Complete Safety Framework for Longitudinal Driving. Galina Sidorenko, Aleksei Fedorov, Johan Thunberg, Alexey Vinel |
| 2024 | Towards a Completeness Argumentation for Scenario Concepts. Christoph Glasmacher, Hendrik Weber, Michael Schuldes, Lutz Eckstein |
| 2024 | Towards seamless localization in challenging environments via high-definition maps and multi-sensor fusions. Zufeng Zhang, Xiaocong Lian, Weiwei Sun |
| 2024 | Towards self-aware vehicle automation for improved usability and safer automation mediation. Gabriel Rodrigues de Campos, Alessia Knauss, Nikita Tanov, David Mano, Bram Bakker, Haneen Farah, Yufei Yuan, Stefan Andersson |
| 2024 | TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction. Junrui Zhang, Mozhgan Pourkeshavarz, Amir Rasouli |
| 2024 | Traction Control Allocation Employing Vehicle Motion Feedback Controller for Four-wheel-independent-drive Vehicle. David Vosahlik, Tomás Hanis |
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