| 2023 | (Re) Haoyi Niu, Kun Ren, Yizhou Xu, Ziyuan Yang, Yichen Lin, Yi Zhang, Jianming Hu |
| 2023 | 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey. Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax |
| 2023 | 3D Multi-Object Tracking based on Two-Stage Data Association for Collaborative Perception Scenarios. Hao Su, Shin'ichi Arakawa, Masayuki Murata |
| 2023 | A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam |
| 2023 | A Comprehensive Framework for Evaluating Vision-Based on-Board Rail Track Detection. Markus Ziegler, Vishal Mhasawade, Martin Köppel, Philipp Neumaier, Volker Eiselein |
| 2023 | A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving. Maximilian Zipfl, Nina Koch, J. Marius Zöllner |
| 2023 | A Continuous Collision Detection Algorithm for Dubins Paths. Georg Schildbach |
| 2023 | A Cooperative Perception System Robust to Localization Errors. Zhiying Song, Fuxi Wen, Hailiang Zhang, Jun Li |
| 2023 | A Novel Framework for Modeling and Synthesizing Stealthy Cyberattacks on Driver-Assist Enabled Vehicles. Shian Wang |
| 2023 | A Parallel Monte-Carlo Tree Search-Based Metaheuristic For Optimal Fleet Composition Considering Vehicle Routing Using Branch & Bound. T. M. J. T. Baltussen, Mithun Goutham, Meghna Menon, Sarah G. Garrow, Mario A. Santillo, Stephanie Stockar |
| 2023 | A Risk Level Assessment Method for Traffic Scenarios Based on BEV Perception. Liangyu Tian, Haoran Li, Wangling Wei, Sifa Zheng, Chuan Sun |
| 2023 | A Scaled Experiment Platform to Study Interactions Between Humans and CAVs. Patrick Scheffe, Bassam Alrifaee |
| 2023 | A Set of Design Principles for Personalized Information in Automated Driving User Interfaces Based on Theory and Empirical Evidence. Tim Driesen-Micklitz, Michael Fellmann, Carsten Röcker |
| 2023 | A Simple and Model-Free Path Filtering Algorithm for Smoothing and Accuracy. Thomas Steinecker, Hans-Joachim Wuensche |
| 2023 | A Survey of Teleoperation: Driving Feedback. Lin Zhao, Mikael Nybacka, Malte Rothhämel |
| 2023 | A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based on Adaptive Lag Smoother. Cheng Ye, Wei Li, Yu Hu |
| 2023 | A review of vision-based road detection technology for unmanned vehicles. Chaoyang Liu, Xueyuan Li, Qi Liu, Fan Yang, Zirui Li, Mengkai Li |
| 2023 | AOP-Net: All-in-One Perception Network for LiDAR-based Joint 3D Object Detection and Panoptic Segmentation. Yixuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu |
| 2023 | Active Excitations for Maximum Friction Coefficient Estimation. Nicolas Lampe, Karl-Philipp Kortmann, Clemens Westerkamp, Hans-Georg Jacob |
| 2023 | Adaptive Look-Ahead Distance Based on an Intelligent Fuzzy Decision for an Autonomous Vehicle. Fadel Tarhini, Reine Talj, Moustapha Doumiati |
| 2023 | Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy Features. Zhen Feng, Yuchao Feng, Yanning Guo, Yuxiang Sun |
| 2023 | Adversarial Attacks on Deep Learning Visual Object Detectors: Optimization and Evaluation of Physical Attack Vectors using YOLOv4. Fritz Haas, Martin Stellmacher, Michael Pätzold, Ahmed Hussein, Elmar Matthes |
| 2023 | Adversarial Detection: Attacking Object Detection in Real Time. Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström |
| 2023 | Adversarial Driving: Attacking End-to-End Autonomous Driving. Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström |
| 2023 | Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow. Minh-Quan Dao, Vincent Frémont, Elwan Héry |
| 2023 | An Efficient Tracking Method Based on Multipath Utilization in Traffic Scenarios. Xiaoxi Ma, Haoran Wang, Yuanhang Wu, Chenyu Zhang, Wei Yi |
| 2023 | An optimized scheduling method with dynamic conflict graph for connected and automated vehicles at multi-lane on-ramp areas. Jia Shi, Yugong Luo, Pengfei Li, Yunhao Hu, Keqiang Li |
| 2023 | Are Head-mounted Displays Really Not Suitable for Driving Simulation? A Comparison with a Screen-Based Simulator. Chantal Himmels, Vladislav Andreev, Arslan Ali Syed, Johannes Lindner, Florian Denk, Andreas Riener |
| 2023 | Assessing safe autonomous vehicle behavior via large scale traffic simulation. Pradeep Sharma Oruganti, Eeshan Deosthale, Cristhian Lizarazo Jimenez |
| 2023 | Attack Simulation and Adaptation in CAN for Training and Evaluation of IDS. Jo Laufenberg, Susanne Throner, Thomas Kropf, Oliver Bringmann |
| 2023 | Augmentation-based Domain Generalization for Semantic Segmentation. Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk |
| 2023 | Augmenting Legacy Networks for Flexible Inference. Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler |
| 2023 | Auto-tuning extended Kalman filters to improve state estimation. Boulaid Boulkroune, Kurt Geebelen, Jia Wan, Ellen van Nunen |
| 2023 | Automated Design Space Exploration for Resource Allocation in Software-Defined Vehicles. Fengjunjie Pan, Jianjie Lin, Markus Rickert, Alois Knoll |
| 2023 | Automated Sensor Performance Evaluation of Robot-Guided Vehicles for High Dynamic Tests. David Hermann, Granit Tejeci, Clara Marina Martinez, Gereon Hinz, Alois Knoll |
| 2023 | Automated Static Camera Calibration with Intelligent Vehicles. Alexander Tsaregorodtsev, Adrian Holzbock, Jan Strohbeck, Michael Buchholz, Vasileios Belagiannis |
| 2023 | Automatic Disengagement Scenario Reconstruction Based on Urban Test Drives of Automated Vehicles. Zhijing Zhu, Robin Philipp, Yongqi Zhao, Constanze Hungar, Jürgen Pannek, Falk Howar |
| 2023 | Automatic Extrinsic Calibration of Thermal Camera and LiDAR for Vehicle Sensor Setups. Farhad Dalirani, Farzan Heidari, Taufiq Rahman, Daniel Singh Cheema, Michael A. Bauer |
| 2023 | Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks. Marvin Klimke, Benjamin Völz, Michael Buchholz |
| 2023 | Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles. Long Wen, Markus Rickert, Fengjunjie Pan, Jianjie Lin, Alois Knoll |
| 2023 | Biased Target-tree Joonwoo Ahn, Minsoo Kim, Jaeheung Park |
| 2023 | Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision. Faris Janjos, Max Keller, Maxim Dolgov, J. Marius Zöllner |
| 2023 | Can listening to more neighbours help CAVs be faster and safer? Mohit Garg, Mélanie Bouroche |
| 2023 | Centralised Vehicle Routing for Optimising Urban Traffic: A Scalability Perspective. Lukás Chrpa, Mauro Vallati |
| 2023 | Changing the Perspective: Assessing the Controllability of Minimal Risk Maneuvers for Surrounding Traffic Participants. Burak Karakaya, Klaus Bengler |
| 2023 | Characterizing Drivers' Peripheral Vision via the Functional Field of View for Intelligent Driving Assistance. Abhijat Biswas, Henny Admoni |
| 2023 | CoLD Fusion: A Real-time Capable Spline-based Fusion Algorithm for Collective Lane Detection. Jörg Gamerdinger, Sven Teufel, Georg Volk, Oliver Bringmann |
| 2023 | Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein |
| 2023 | CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles. Yuanfei Lin, Matthias Althoff |
| 2023 | Comparing the Crash Risk of Vehicle-Pedestrian Interactions using Autonomous Vehicle Data. Gabriel Lanzaro, Chuanyun Fu, Tarek Sayed |
| 2023 | Connecting the Dots: Context-Driven Motion Planning Using Symbolic Reasoning. Chris van der Ploeg, Michiel Braat, Beatrice Masini, Jochem Brouwer, Jan-Pieter Paardekooper |
| 2023 | Consensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles. Tzu-Yen Tseng, Ding-Jiun Huang, Jia-You Lin, Po-Jui Chang, Chung-Wei Lin, Changliu Liu |
| 2023 | Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic. Marvin V. Baumann, Jürgen Beyerer, H. Sebastian Buck, Barbara Deml, Sofie Ehrhardt, Christian Frese, D. Kleiser, Martin Lauer, Masoud Roschani, Miriam Ruf, Christoph Stiller, Peter Vortisch, Jens R. Ziehn |
| 2023 | Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments. Zhe Fu, Abdul Rahman Kreidieh, Han Wang, Jonathan W. Lee, Maria Laura Delle Monache, Alexandre M. Bayen |
| 2023 | Cooperative Merging Speed Planning: A Vehicle-Dynamics-Free Method. Zejiang Wang, Adian Cook, Yunli Shao, Guanhao Xu, Jianfei Max Chen |
| 2023 | Cooperative Reinforcement Learning-based Damping of Lane-Change-Induced Waves. Kathy Jang, Yashar Zeiynali Farid, Kentaro Oguchi |
| 2023 | Corner Cases in Data-Driven Automated Driving: Definitions, Properties and Solutions. Jingxing Zhou, Jürgen Beyerer |
| 2023 | Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection Parth Ganeriwala, Siddhartha Bhattacharyya, Raja Muthalagu |
| 2023 | Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings. Chi Zhang, Amir Hossein Kalantari, Yue Yang, Zhongjun Ni, Gustav Markkula, Natasha Merat, Christian Berger |
| 2023 | Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany. Janis Sprenger, Lorena Hell, Matthias Klusch, Yoshiyuki Kobayashi, Shoma Kudo, Christian Müller |
| 2023 | D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments. Matteo Frosi, Matteo Matteucci |
| 2023 | Data-driven Predictive Connected Cruise Control. Minghao Shen, Gábor Orosz |
| 2023 | Decision-Making Strategy Using Multi-Agent Reinforcement Learning for Platoon Formation in Agreement-Seeking Cooperation. Eunjeong Hyeon, Dominik Karbowski, Aymeric Rousseau |
| 2023 | Deep High-Level Policy Model Predictive Contour Control for Autonomous Racing. Wenjun Liu, Minghao Zeng, Guang Chen, Alois Knoll |
| 2023 | Deep Learning Highway Traffic Scenario Construction with Trajectory Generators. Anne van der Heide, Chris M. J. Tampère, Mike Nicolai |
| 2023 | DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. Sebastian Huch, Florian Sauerbeck, Johannes Betz |
| 2023 | Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller |
| 2023 | Dense Traversability Estimation System for Extreme Environments. Yukiya Fukuda, Yuya Mii, Yuga Yano, Hidenari Iwai, Shintaro Inoue, Hakaru Tamukoh |
| 2023 | Design Hybrid Computing Architecture for Accelerating Point Cloud Registration. Xiao Wang, Xiaodong Deng, Yingxiang Li, Shitao Chen, Longjun Liu, Nanning Zheng |
| 2023 | Design of an Experiment to Pinpoint Cognitive Failure Processes in the Interaction of Motorists and Vulnerable Road Users. Florian Denk, Felix Fröhling, Pascal Brunner, Werner Huber, Martin Margreiter, Klaus Bogenberger, Ronald Kates |
| 2023 | Detecting Data Spoofing in Connected Vehicle based Intelligent Traffic Signal Control using Infrastructure-Side Sensors and Traffic Invariants. Junjie Shen, Ziwen Wan, Yunpeng Luo, Yiheng Feng, Z. Morley Mao, Qi Alfred Chen |
| 2023 | Development and Validation of an Open Architecture for Autonomous Vehicle Control. Alfredo Valle Barrio, Walter Morales-Alvarez, Cristina Olaverri-Monreal, José Eugenio Naranjo Hernandez |
| 2023 | Distributed Voters for Automotive Applications. Martin Stoffel, Eric Sax |
| 2023 | Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections. Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu |
| 2023 | Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator. Zhijie Qiao, Xiatao Sun, Helen Loeb, Rahul Mangharam |
| 2023 | Driver Gaze Fixation and Pattern Analysis in Safety Critical Events. Hirva Bhagat, Sandesh Rajendra Jain, A. Lynn Abbott, Akash Sonth, Abhijit Sarkar |
| 2023 | Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework. Runjia Du, Kyungtae Han, Rohit Gupta, Sikai Chen, Samuel Labi, Ziran Wang |
| 2023 | Effect of Music Intervention Strategies on Mitigating Drivers' Negative Emotion in Post-congestion Driving. Delin Ouyang, Guofa Li, Qingkun Li, Xiaoxuan Sui, Xingda Qu, Gang Guo |
| 2023 | Effects of Architectures on Continual Semantic Segmentation. Tobias Kalb, Niket Ahuja, Jingxing Zhou, Jürgen Beyerer |
| 2023 | Efficient 3D Object Detection Models and Evaluation Method for Autonomous Driving. Jin-Hee Lee, Jae-Keun Lee, Joohyun Lee, Je-Seok Kim, Soon Kwon |
| 2023 | Efficient Lane-changing Behavior Planning via Reinforcement Learning with Imitation Learning Initialization. Jiamin Shi, Tangyike Zhang, Junxiang Zhan, Shitao Chen, Jingmin Xin, Nanning Zheng |
| 2023 | Efficient-DASH: Automated Radar Neural Network Design Across Tasks and Datasets. Thomas Boot, Nicolas Cazin, Willem P. Sanberg, Joaquin Vanschoren |
| 2023 | End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles. Arya Rachman, Jürgen Seiler, André Kaup |
| 2023 | End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras. Zhouqiao Zhao, Zhensong Wei, Danyang Tian, Bryan Reimer, Pnina Gershon, Ehsan Moradi-Pari |
| 2023 | Energy Costs of Safe Speed Policies in a Pedestrian-crossing Scenario. Antonello Cherubini, Gastone Pietro Rosati Papini, Alice Plebe, Mauro Da Lio |
| 2023 | Energy-Efficient Lane Changes Planning and Control for Connected Autonomous Vehicles on Urban Roads. Eunhyek Joa, Hotae Lee, Eric Yongkeun Choi, Francesco Borrelli |
| 2023 | Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection. Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya |
| 2023 | Enhancing Robustness of LiDAR-Based Perception in Adverse Weather using Point Cloud Augmentations. Sven Teufel, Jörg Gamerdinger, Georg Volk, Christoph Gerum, Oliver Bringmann |
| 2023 | Evaluating the acceptance of autonomous vehicles in the future. Ángel Madridano Carrasco, Delgermaa Gankhuyag, Miguel Ángel de Miguel Paraiso, Martin Palos Lorite, Cristina Olaverri-Monreal, Abdulla Al-Kaff |
| 2023 | Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk |
| 2023 | Evidence Based Trust Scoring for Multimodal VANET Applications. Krispin Raich, Robert Kathrein, Mario Döller |
| 2023 | Evidential deep learning-based multi-modal environment perception for intelligent vehicles. Mihreteab Negash Geletu, Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari, Jean-Philippe Lauffenburger |
| 2023 | Example-Based Query To Identify Causes of Driving Anomaly with Few Labeled Samples. Yuning Qiu, Teruhisa Misu, Carlos Busso |
| 2023 | ExistenceMap-PointPillars: A Multi-Fusion Network for Stable 3D Object Detection with Pseudo 2D Maps. Keigo Hariya, Hiroki Inoshita, Keisuke Yoneda, Ryo Yanase, Kota Ishii, Naoki Suganuma |
| 2023 | Experience Filter: Using Past Experiences on Unseen Tasks or Environments. Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer |
| 2023 | Experimental Validation of Intent Sharing in Cooperative Maneuvering. Hao M. Wang, Sergei S. Avedisov, Onur Altintas, Gábor Orosz |
| 2023 | Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles. Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda |
| 2023 | Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle. Akash Sonth, Abhijit Sarkar, Hirva Bhagat, A. Lynn Abbott |
| 2023 | Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles. Tianyi Li, Benjamin Rosenblad, Shian Wang, Mingfeng Shang, Raphael E. Stern |
| 2023 | Exploring Vehicular Interaction from Trajectories Based on Granger Causality. Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han |
| 2023 | Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation. Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer |
| 2023 | FGNet: A Graph-Based Motion Forecasting Method From a Future Perspective. Xiaqiang Tang, Yafeng Guo, Yiyang Sun, Siyuan Hu, Jun Wang |
| 2023 | FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge. Cecilia Latotzke, Amarin Kloeker, Simon Schoening, Fabian Kemper, Mazen Slimi, Lutz Eckstein, Tobias Gemmeke |
| 2023 | Fault Resistant Odometry Estimation using Message Passing Neural Network. Pragyan Dahal, Simone Mentasti, Luca Paparusso, Stefano Arrigoni, Francesco Braghin |
| 2023 | Filling Action Selection Reinforcement Learning Algorithm for Safer Autonomous Driving in Multi-Traffic Scenes. Fan Yang, Xueyuan Li, Qi Liu, Chaoyang Liu, Zirui Li, Yong Liu |
| 2023 | ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction. Weicheng Zhang, Hao Cheng, Fatema T. Johora, Monika Sester |
| 2023 | Formal Verification of Safety Architectures for Automated Driving. Clovis Eberhart, Jérémy Dubut, James Haydon, Ichiro Hasuo |
| 2023 | Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein |
| 2023 | GAN-based Deidentification of Drivers' Face Videos: An Assessment of Human Factors Implications in NDS Data. Surendrabikram Thapa, Abhijit Sarkar |
| 2023 | GAN-based EEG Forecasting for Attaining Driving Operations. Kenichi Takasaki, Yuka Sasaki, Shoichiro Watanabe, Yasutaka Nishimura, Mari Abe |
| 2023 | Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios. Johannes Fischer, Etienne Bührle, Christoph Stiller |
| 2023 | General and Multi-Criteria Approach to Study the Admissibility and Quality of a Driving Intention. Hugo Pousseur, Alessandro Corrêa Victorino |
| 2023 | Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric. Eivind Meyer, Maurice Brenner, Bowen Zhang, Max Schickert, Bilal Musani, Matthias Althoff |
| 2023 | Global Path Planning of UGVs in Large-Scale Off-Road Environment Based on Improved A-star Algorithm and Quadratic Programming. Junkai Jiang, Zeyu Han, Jinhao Li, Yuning Wang, Jianqiang Wang, Shaobing Xu |
| 2023 | HD Map Generation from Noisy Multi-Route Vehicle Fleet Data on Highways with Expectation Maximization. Fabian Immel, Richard Fehler, Mohammad M. Ghanaat, Florian Ries, Martin Haueis, Christoph Stiller |
| 2023 | HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration. Canhui Tang, Yiheng Li, Shaoyi Du, Guofa Wang, Zhiqiang Tian |
| 2023 | HPCR-VI: Heterogeneous point cloud registration for vehicle-infrastructure collaboration. Yuting Zhao, Xinyu Zhang, Shiyan Zhang, Shaoting Qiu, Haojie Yin, Xu Zhang |
| 2023 | Hardware-Aware Latency Pruning for Real-Time 3D Object Detection. Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez |
| 2023 | Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications. Hao Gao, Yongkang Liu, Emrah Akin Sisbot, Yashar Zeiynali Farid, Kentaro Oguchi, Zhu Han |
| 2023 | Holistic Driving Scenario Concept for Urban Traffic. Hendrik Weber, Christoph Glasmacher, Michael Schuldes, Nicolas Wagener, Lutz Eckstein |
| 2023 | Homography Estimation for Camera Calibration in Complex Topological Scenes. Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With |
| 2023 | How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software. Tobias Betz, Maximilian Schmeller, Harun Teper, Johannes Betz |
| 2023 | Human-Machine Interface Evaluation Using EEG in Driving Simulator. Yuan-Cheng Liu, Nikol Figalová, Martin Baumann, Klaus Bengler |
| 2023 | HyLEAR: Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving. Dikshant Gupta, Matthias Klusch |
| 2023 | Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios. Rodrigo Gutiérrez-Moreno, Rafael Barea, María Elena López Guillén, Juan Felipe Arango, Navil Abdeselam, Luis Miguel Bergasa |
| 2023 | I Had a Bad Day: Challenges of Object Detection in Bad Visibility Conditions. Thomas Rothmeier, Diogo Wachtel, Tetmar von Dem Bussche-Hünnefeld, Werner Huber |
| 2023 | IEEE Intelligent Vehicles Symposium, IV 2023, Anchorage, AK, USA, June 4-7, 2023 |
| 2023 | Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation. Maximilian Menke, Thomas Wenzel, Andreas Schwung |
| 2023 | Improving Extrinsics between RADAR and LIDAR using Learning. Peng Jiang, Srikanth Saripalli |
| 2023 | Improving Infrastructure and Community Resilience with Shared Autonomous Electric Vehicles (SAEV-R). Jiangbo Gabe Yu, Michael F. Hyland, Anthony Chen |
| 2023 | Improving Vehicle Trajectory Prediction with Online Learning. Ce Hao, Yuying Chen, Siyuan Cheng, Hongbo Zhang |
| 2023 | Increasing Electric Vehicles Utilization in Transit Fleets using Learning, Predictions, Optimization, and Automation. Jacopo Guanetti, Yeojun Kim, Xu Shen, Joel Donham, Santosh Alexander, Bruce Wootton, Francesco Borrelli |
| 2023 | InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors. Walter Zimmer, Joseph Birkner, Marcel Brucker, Huu-Tung Nguyen, Stefan Petrovski, Bohan Wang, Alois C. Knoll |
| 2023 | Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving. Marvin Klimke, Benjamin Völz, Michael Buchholz |
| 2023 | Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making. Iuliia Kotseruba, Amir Rasouli |
| 2023 | Intention-Aware Lane Keeping Assist Using Driver Gaze Information. John Dahl, Gabriel Rodrigues de Campos, Jonas Fredriksson |
| 2023 | Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control. Rui Oliveira, Siddharth H. Nair, Bo Wahlberg |
| 2023 | Interaction-Aware Merging in Mixed Traffic with Integrated Game-theoretic Predictive Control and Inverse Differential Game. Mohamed-Khalil Bouzidi, Ehsan Hashemi |
| 2023 | Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs. Iago Pachêco Gomes, Cristiano Premebida, Denis Fernando Wolf |
| 2023 | Interaction-aware Predictive Collision Detector for Human-aware Collision Avoidance. Thomas Genevois, Anne Spalanzani, Christian Laugier |
| 2023 | Interpretable Goal-Based model for Vehicle Trajectory Prediction in Interactive Scenarios. Amina Ghoul, Itheri Yahiaoui, Anne Verroust-Blondet, Fawzi Nashashibi |
| 2023 | Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax |
| 2023 | Investigating a Pressure Sensitive Surface Layer for Vehicle Localization. Simon Schäfer, Hendrik Steidl, Stefan Kowalewski, Bassam Alrifaee |
| 2023 | L Jun Zhang, Yiyao Liu, Mingxing Wen, Yufeng Yue, Haoyuan Zhang, Danwei Wang |
| 2023 | LIV-DeepSORT: Optimized DeepSORT for Multiple Object Tracking in Autonomous Vehicles Using Camera and LiDAR Data Fusion. Zo A. T. Rakotoniaina, Nacer Eddine Chelbi, Denis Gingras, Frédéric Faulconnier |
| 2023 | LMR: Lane Distance-Based Metric for Trajectory Prediction. Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer |
| 2023 | LUCOOP: Leibniz University Cooperative Perception and Urban Navigation Dataset. Jeldrik Axmann, Rozhin Moftizadeh, Jingyao Su, Benjamin Tennstedt, Qianqian Zou, Yunshuang Yuan, Dominik Ernst, Hamza Alkhatib, Claus Brenner, Steffen Schön |
| 2023 | Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function. Haohao Hu, Hexing Yang, Jian Wu, Xiao Lei, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller |
| 2023 | Latency Measurement for Autonomous Driving Software Using Data Flow Extraction. Tobias Betz, Maximilian Schmeller, Andreas Korb, Johannes Betz |
| 2023 | Lateral flow control of connected vehicles through deep reinforcement learning. Abdul Rahman Kreidieh, Yashar Zeiynali Farid, Kentaro Oguchi |
| 2023 | Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction. Fatemeh Koochaki, Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu |
| 2023 | Learning Pedestrian Actions to Ensure Safe Autonomous Driving. Jia Huang, Alvika Gautam, Srikanth Saripalli |
| 2023 | Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz |
| 2023 | Learning-enabled multi-modal motion prediction in urban environments. Vinicius Trentin, Chenxu Ma, Jorge Villagra, Zaid Al-Ars |
| 2023 | LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs. Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Maoning Ge, Alexander Carballo, Kazuya Takeda |
| 2023 | LiDAR-based Cooperative Relative Localization. Jiqian Dong, Qi Chen, Deyuan Qu, Hongsheng Lu, Akila Ganlath, Qing Yang, Sikai Chen, Samuel Labi |
| 2023 | Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations. Nicole Neis, Juergen Beyerer |
| 2023 | Long-Horizon Vehicle Planning and Control Through Real-Time Iterations. Victor Fors, J. Christian Gerdes |
| 2023 | Low-Complexity Deep HDR Fusion And Tone Mapping for Urban Traffic Scenes. Ivana Shopovska, Jan Aelterman, David Van Hamme, Wilfried Philips |
| 2023 | M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance. Sandipan Das, Navid Mahabadi, Maurice F. Fallon, Saikat Chatterjee |
| 2023 | M2F2-Net: Multi-Modal Feature Fusion for Unstructured Off-Road Freespace Detection. Hongliang Ye, Jilin Mei, Yu Hu |
| 2023 | MPC Builder for Autonomous Drive: Automatic Generation of MPCs for Motion Planning and Control. Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Akira Ito |
| 2023 | MPCNet: GNSS Multipath Error Compensation Network via Multi-task learning. Sang Jae Cho, Hong-Woo Seok, Seung-Hyun Kong |
| 2023 | Map-aided annotation for pole base detection. Benjamin Missaoui, Maxime Noizet, Philippe Xu |
| 2023 | Method for Comparison of Surrogate Safety Measures in Multi-Vehicle Scenarios. Enrico Del Re, Cristina Olaverri-Monreal |
| 2023 | Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors. Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick |
| 2023 | Model Predictive Control for Autonomous Vehicle Following. Alexander Bienemann, Hans-Joachim Wuensche |
| 2023 | Model-predictive Control with Parallelised Optimisation for the Navigation of Autonomous Mining Vehicles. Gjorgji Nikolovski, Nicolas Limpert, Hendrik Nessau, Michael Reke, Alexander Ferrein |
| 2023 | Modeling human road crossing decisions as reward maximization with visual perception limitations. Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen, Antti Oulasvirta, Gustav Markkula |
| 2023 | Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles. Thomas Michalke, Yassin Kaddar, Thomas Nürnberg, Linh Kästner, Jens Lambrecht |
| 2023 | Multi-Horizon and Multi-Rate Model Predictive Control for Integrated Longitudinal and Lateral Vehicle Control. Ching Lin Kuan, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki |
| 2023 | Multi-Object Tracking, Segmentation and Validation in Thermal Images. Mircea Paul Muresan, Radu Danescu, Sergiu Nedevschi |
| 2023 | Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations. Chang Huang, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Xiao Zhang, Chen Ye |
| 2023 | Multi-layer Edge Computing for Cooperative Driving Control Optimization in Smart Cities. Yusuke Inagaki, Akihiro Nakao |
| 2023 | Nearby Unsafe Driving Detection. Seyhan Ucar, Emrah Akin Sisbot, Haritha Muralidharan, Kentaro Oguchi |
| 2023 | Normalized Facial Features-Based DNN for a Driver's Gaze Zone Classifier Using a Single Camera Robust to Various Highly Challenging Driving Scenarios. Catherine Lollett, Mitsuhiro Kamezaki, Shigeki Sugano |
| 2023 | ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model. Richard Schubert, Marcus Nolte, Arnaud de La Fortelle, Markus Maurer |
| 2023 | Object Detection and Heading Estimation from Radar Raw data. Ravi Kothari, Ali Kariminezhad, Christian Mayr, Haoming Zhang |
| 2023 | On Quantification for SOTIF Validation of Automated Driving Systems. Lina Putze, Lukas Westhofen, Tjark Koopmann, Eckard Böde, Christian Neurohr |
| 2023 | Online Test Scheduling in Car Production Lines. Simone König, Birgit Vogel-Heuser, Florian Karg, Kathrin Land, Emanuele Carbone, Adam Hradecky, Michael Hahn, Oliver Kopp |
| 2023 | Online Time-Optimal Trajectory Planning on Three-Dimensional Race Tracks. Matthias Rowold, Levent Ögretmen, Ulf Kasolowsky, Boris Lohmann |
| 2023 | Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding. Yingjie Niu, Ming Ding, Yuxiao Zhang, Maoning Ge, Hanting Yang, Kazuya Takeda |
| 2023 | Operational Design Domain for Automated Driving Systems: Taxonomy Definition and Application. Léo Mendiboure, Mohamed Lamine Benzagouta, Dominique Gruyer, Tidiane Sylla, Morayo Adedjouma, Abdelmename Hedhli |
| 2023 | Optimal Routing of Modular Agents on a Graph. Karan Jagdale, Melkior Ornik |
| 2023 | Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick |
| 2023 | PMR-CNN: Prototype Mixture R-CNN for Few-Shot Object Detection. Jiancong Zhou, Jilin Mei, Haoyu Li, Yu Hu |
| 2023 | Path Planning for Autonomous Driving with Curvature-considered Quadratic Optimization. Ziang Zhang, Ziyi Zou, Xiang Li, Mingyi Wang, Yixu Wang, Xiaoqing Guan, You Wang, Guang Li |
| 2023 | PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios. Liang Peng, Jun Li, Wenbo Shao, Hong Wang |
| 2023 | Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi |
| 2023 | Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner |
| 2023 | Physics Constrained Motion Prediction with Uncertainty Quantification. Renukanandan Tumu, Lars Lindemann, Truong Nghiem, Rahul Mangharam |
| 2023 | Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön |
| 2023 | Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann |
| 2023 | Procedural Generation of Complex Roundabouts for Autonomous Vehicle Testing. Zarif Ikram, Golam Md Muktadir, Jim Whitehead |
| 2023 | Quantifying Object Detection Uncertainty in Autonomous Driving with Test-Time Augmentation. Rui Magalhães, Alexandre Bernardino |
| 2023 | RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer |
| 2023 | RSG-Search: Semantic Traffic Scene Retrieval Using Graph-Based Scene Representation. Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda |
| 2023 | RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation. Markus Schön, Michael Buchholz, Klaus Dietmayer |
| 2023 | Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area. Aoki Takanose, Eijiro Takeuchi, Alexander Carballo, Junichi Meguro, Kazuya Takeda |
| 2023 | Real-Time Spatial Trajectory Planning for Urban Environments Using Dynamic Optimization. Jona Ruof, Max Bastian Mertens, Michael Buchholz, Klaus Dietmayer |
| 2023 | Real-Time Traffic Prediction Considering Lane Changing Maneuvers with Application to Eco-Driving Control of Electric Vehicles. Suiyi He, Shian Wang, Yunli Shao, Zongxuan Sun, Michael W. Levin |
| 2023 | Refined Objectification for Improving End-to-End Driving Model Explanation Persuasibility Chenkai Zhang, Daisuke Deguchi, Hiroshi Murase |
| 2023 | Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone |
| 2023 | Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces. Xu Shen, Francesco Borrelli |
| 2023 | Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. Raphael Trumpp, Denis Hoornaert, Marco Caccamo |
| 2023 | Resilient Navigation Based on Multimodal Measurements and Degradation Identification for High-Speed Autonomous Race Cars. Daegyu Lee, Hyunwoo Nam, Chanhoe Ryu, Sungwon Nah, David Hyunchul Shim |
| 2023 | Risk Assessment and Management based on Neuro-Fuzzy System for Safe and Flexible Navigation in Unsignalized Intersection. Kévin Bellingard, Lounis Adouane, Fabrice Peyrin |
| 2023 | Risk in Stochastic and Robust Model Predictive Path-Following Control for Vehicular Motion Planning. Leon Tolksdorf, Arturo Tejada, Nathan van de Wouw, Christian Birkner |
| 2023 | Robust Consumption Planning from Uncertain Power Demand Predictions. Mathieu Randon, Benjamin Quost, Dirk von Wissel, Nassim Boudaoud |
| 2023 | Robust LSTM-based Vehicle Velocity Observer for Regular and Near-limits Applications. Agapius Bou Ghosn, Marcus Nolte, Philip Polack, Arnaud de La Fortelle, Markus Maurer |
| 2023 | Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi |
| 2023 | STRETCH: Generating Challenging Scenarios for Testing Collision Avoidance Systems. Franz Scheuer, Alessio Gambi, Paolo Arcaini |
| 2023 | Safe Autonomous Driving in Adverse Weather: Sensor Evaluation and Performance Monitoring. Fatih Sezgin, Daniel Vriesman, Dagmar Steinhauser, Robert Lugner, Thomas Brandmeier |
| 2023 | Safe Decision Or Collision? Using Natural Habituated Interfaces to Increase Traffic Safety. Jürgen Pichen, Nikol Figalová, Martin Baumann |
| 2023 | Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority. Yiming Shu, Jingyuan Zhou, Fu Zhang |
| 2023 | Scenario-Based Decision-Making, Planning and Control for Interaction-Aware Autonomous Driving on Highways. Robin Kensbock, Maryam Nezami, Georg Schildbach |
| 2023 | Seatbelt Segmentation Using Synthetic Images. Sumit Jha, Isaac Brooks, Soumitry J. Ray, Rajesh Narasimha, Naofal Al-Dhahir, Carlos Busso |
| 2023 | Self-Aware Trajectory Prediction for Safe Autonomous Driving. Wenbo Shao, Jun Li, Hong Wang |
| 2023 | Self-Supervised Occupancy Grid Map Completion for Automated Driving. Jugoslav Stojcheski, Thomas Nürnberg, Michael Ulrich, Thomas Michalke, Claudius Gläser, Andreas Geiger |
| 2023 | Sensor Equivariance by LiDAR Projection Images. Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick |
| 2023 | Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour. Rhys Howard, Lars Kunze |
| 2023 | Simulation-based Performance Optimization of V2X Collective Perception by Adaptive Object Filtering. Quentin Delooz, Andreas Festag, Alexey Vinel, Silas C. Lobo |
| 2023 | Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. Stefan Leitner, Muhammad Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof |
| 2023 | Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. Anirudh Chari, Rui Chen, Changliu Liu |
| 2023 | Spiking Neural Networks for Robust and Efficient Object Detection in Intelligent Transportation Systems With Roadside Event-Based Cameras. Mikihiro Ikura, Florian Walter, Alois Knoll |
| 2023 | Structured Natural Language for expressing Rules of the Road for Automated Driving Systems. Patrick Irvine, Antonio Anastasio Bruto da Costa, Xizhe Zhang, Siddartha Khastgir, Paul A. Jennings |
| 2023 | Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. Noam Buckman, Sertac Karaman, Daniela Rus |
| 2023 | Survey on LiDAR Perception in Adverse Weather Conditions. Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker |
| 2023 | Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance. Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda |
| 2023 | TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction. Yunong Wu, Thomas Gilles, Bogdan Stanciulescu, Fabien Moutarde |
| 2023 | Targetless Extrinsic Calibration Between Event-Based and RGB Camera for Intelligent Transportation Systems. Christian Creß, Erik Schütz, Bare Luka Zagar, Alois C. Knoll |
| 2023 | Textual Explanations for Automated Commentary Driving. Marc Alexander Kühn, Daniel Omeiza, Lars Kunze |
| 2023 | The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick |
| 2023 | The Impact of Frame-Dropping on Performance and Energy Consumption for Multi-Object Tracking. Matti Henning, Michael Buchholz, Klaus Dietmayer |
| 2023 | The Impact of System Transparency on Passenger's Quality of Experience in Highly Automated Driving. Chenchang Li, Zheng Wang, Bo Yang, Muhua Guan, Chao Huang, Kimihiko Nakano |
| 2023 | Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles. Pengfei Lin, Ehsan Javanmardi, Ye Tao, Vishal Chauhan, Jin Nakazato, Manabu Tsukada |
| 2023 | Toward Map Updates with Crosswalk Change Detection Using a Monocular Bus Camera. Tom Bu, Christoph Mertz, John M. Dolan |
| 2023 | Towards Active Motion Planning in Interactive Driving Scenarios: A Generic Utility Term of Interaction Activeness. Xiaocong Zhao, Meng Wang, Shiyu Fang, Jian Sun |
| 2023 | Towards Continual Knowledge Learning of Vehicle CAN-data. Sajeel Ahmed, Ousama Esbel, Max Mühlhäuser, Alejandro Sánchez Guinea |
| 2023 | Towards Coordinated Motorways: A Slot-based On-Ramp Merging Control Method. Yucheng Shi, Shaguna Gupta, Vinny Cahill |
| 2023 | Towards Establishing Systematic Classification Requirements for Automated Driving. Ken T. Mori, Trent Brown, Steven Peters |
| 2023 | Towards Explainability in Modular Autonomous System Software. Hongrui Zheng, Zirui Zang, Shuo Yang, Rahul Mangharam |
| 2023 | Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber |
| 2023 | Towards Pragmatic Semantic Image Synthesis for Urban Scenes. George Eskandar, Diandian Guo, Karim Guirguis, Bin Yang |
| 2023 | Towards Realistic, Safety-Critical and Complete Test Case Catalogs for Safe Automated Driving in Urban Scenarios. Silvia Thal, Philip Wallis, Roman Henze, Ryo Hasegawa, Hiroki Nakamura, Sou Kitajima, Genya Abe |
| 2023 | Towards Synthetic Data Generation of VANET Attacks for Efficient Testing. Thomas Rosenstatter, Kateryna Melnyk |
| 2023 | Traffic Light and Uncertainty Aware Pedestrian Crossing Intention Prediction for Automated Vehicles. Minali Upreti, Jayanth Ramesh, Chandan Kumar, Bodhisattwa Chakraborty, Vikram Balisavira, Markus Roth, Vitali Kaiser, Phillip Czech |
| 2023 | Transfer Learning for Driver Pose Estimation from Synthetic Data. Daniel Sagmeister, Dominik Schörkhuber, Matej Nezveda, Fabian Stiedl, Maria Schimkowitsch, Margrit Gelautz |
| 2023 | Truss Feature Based Robust Localization Method for Vehicles in Dynamic Industrial Scene. Ying Wu, Wei Yuan, Bing Wang, Chaochun Lian, Yongchun Yao, Yan Cai, Ming Yang |
| 2023 | UCLF: An Uncertainty-Aware Cooperative Lane-Changing Framework for Connected Autonomous Vehicles in Mixed Traffic. Yijun Mao, Yan Ding, Chongshan Jiao, Pengju Ren |
| 2023 | Uncertainty Aware Task Allocation for Human-Automation Cooperative Recognition in Autonomous Driving Systems. Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda |
| 2023 | Unified Pedestrian Path Prediction Framework: A Comparison Study. Jarl L. A. Lemmens, Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman |
| 2023 | Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. George Eskandar, Youssef Farag, Tarun Yenamandra, Daniel Cremers, Karim Guirguis, Bin Yang |
| 2023 | Using Collision Momentum in Deep Reinforcement Learning based Adversarial Pedestrian Modeling. Dianwei Chen, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner |
| 2023 | Using Deep Learning to classify road surface conditions and to estimate the coefficient of friction. Jens-Patrick Langstrand, Hans Olav Randem, Harald P.-J. Thunem, Mario Hoffmann |
| 2023 | Using the Transferable Belief Model for Object Classification in LiDAR Data With Geometry, Motion and Context Features. Juan D. González, Michael Kusenbach, Hans-Joachim Wuensche |
| 2023 | VIF-GNN: A Novel Agent Trajectory Prediction Model based on Virtual Interaction Force and GNN. Yuning Wang, Zhiyuan Liu, Haotian Lin, Jinhao Li, Ruochen Li, Jianqiang Wang |
| 2023 | Varying Road Surface Condition Estimation in Ego and Adjacent Lanes. Hasith Karunasekera, Albin Ekström, Amanda Siklund, Erik Hansson, Filip Anjou, Max Adolfsson, Vincent Carlson, Jonas Sjöberg |
| 2023 | Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing. Max Winkelmann, Constantin Vasconi, Steffen Müller |
| 2023 | Verifiable and Robust Monitoring and Alerting System for Road Safety by AI based Consensus Development on Blockchain. Reshu Verma, Vishnu V. S, Kotaro Kataoka |
| 2023 | Viewpoint Invariant 3D Driver Body Pose-Based Activity Recognition. Manuel Martin, David J. Lerch, Michael Voit |
| 2023 | Vision-RADAR fusion for Robotics BEV Detections: A Survey. Apoorv Singh |
| 2023 | Visual-Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving. Jung Im Choi, Qing Tian |
| 2023 | Vulnerability Analysis of Highly Automated Vehicular Systems Using Structural Redundancy. Vishnu Renganathan, Qadeer Ahmed |
| 2023 | Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving. Peter Bauer, Arij Bouazizi, Ulrich Kressel, Fabian B. Flohr |
| 2023 | WiFi-based Localization for Fail-Aware Autonomous Driving in Urban Scenarios. Carlos Guindel Gómez, Adrián García Sánchez, Noelia Hernández Parra, Ignacio Parra Alonso, Euntai Kim |
| 2023 | ZEBRA: Z-order Curve-based Event Retrieval Approach to Efficiently Explore Automotive Data. Christian Berger, Lukas Birkemeyer |