Johannes Betz

169 papers A* 3A 6B 4C 16Misc 1Journal 102Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example.
IEEE Robotics Autom. Lett.
Felix Jahncke, Baha Zarrouki, Mattia Piccinini, Jovin D'sa, David Isele, Sangjae Bae, Johannes Betz
2026 J jnl
Disengagement Analysis and Field Tests of a Prototypical Open-Source Level 4 Autonomous Driving System.
CoRR
Marvin Seegert, Christian Oefinger, Korbinian Möller, Christoph Bank, Johannes Betz
2026 J jnl
HSR-VINS: Hybrid Structural Regularities for Robust Visual-Inertial Navigation System.
IEEE Trans. Aerosp. Electron. Syst.
Huilin Yin, Pengju Zhen, Linchuan Zhang, Johannes Betz
2026 J jnl
Head-to-Head autonomous racing at the limits of handling in the A2RL challenge.
CoRR
Simon Hoffmann, Simon Sagmeister, Tobias Betz, Joscha Bongard, Sascha Büttner, Dominic Ebner, Daniel Esser, Georg Jank, Sven Goblirsch, Alexander Langmann, Maximilian Leitenstern, Levent Ögretmen, Phillip Pitschi, Ann-Kathrin Schwehn, Cornelius Schröder, Marcel Weinmann, Frederik Werner, Boris Lohmann, Johannes Betz, Markus Lienkamp
2026 J jnl
Modular Autonomy with Conversational Interaction: An LLM-driven Framework for Decision Making in Autonomous Driving.
CoRR
Marvin Seegert, Korbinian Moeller, Johannes Betz
2026 J jnl
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving.
CoRR
Yuan Gao, Dengyuan Hua, Mattia Piccinini, Finn Rasmus Schäfer, Korbinian Möller, Lin Li, Johannes Betz
2026 J jnl
Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware.
CoRR
Korbinian Möller, Glenn Johannes Tungka, Lucas Jürgens, Johannes Betz
2025 — conf
A Kalman Filter-Based Disturbance Observer for Steer-by-Wire Systems.
ITSC
Nikolai Beving, Jonas Marxen, Steffen Müller, Johannes Betz
2025 J jnl
A Kalman Filter-Based Disturbance Observer for Steer-by-Wire Systems.
CoRR
Nikolai Beving, Jonas Marxen, Steffen Mueller, Johannes Betz
2025 — conf
A Learning-Based Planning and Control Framework for Inertia Drift Vehicles.
ITSC
Bei Zhou, Zhouheng Li, Lei Xie, Hongye Su, Johannes Betz
2025 J jnl
A Learning-based Planning and Control Framework for Inertia Drift Vehicles.
CoRR
Bei Zhou, Zhouheng Li, Lei Xie, Hongye Su, Johannes Betz
2025 J jnl
A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams.
CoRR
Frederik Werner, Simon Sagmeister, Mattia Piccinini, Johannes Betz
2025 J jnl
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: A Guide for Creating a New Testbed [Survey].
IEEE Robotics Autom. Mag.
Armin Mokhtarian, Jianye Xu, Patrick Scheffe, Maximilian Kloock, Simon Schäfer, Heeseung Bang, Viet-Anh Le, Sangeet Sankaramangalam Ulhas, Johannes Betz, Sean Wilson, Spring Berman, Liam Paull, Amanda Prorok, Bassam Alrifaee
2025 J jnl
Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation.
CoRR
Anran Zhang, Hanzhi Chen, Yannick Burkhardt, Yao Zhong, Johannes Betz, Helen Oleynikova, Stefan Leutenegger
2025 J jnl
Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles.
CoRR
Bei Zhou, Cheng Hu, Jun Zeng, Zhouheng Li, Johannes Betz, Lei Xie, Hongye Su
2025 J jnl
Adaptive learning-based model predictive control strategy for drift vehicles.
Robotics Auton. Syst.
Bei Zhou, Cheng Hu, Jun Zeng, Zhouheng Li, Johannes Betz, Lei Xie, Hongye Su
2025 J jnl
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data.
CoRR
Sven Goblirsch, Benedikt Ruhland, Johannes Betz, Markus Lienkamp
2025 A conf
Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps.
IROS
Khanh Son Pham, Christian Witte, Jens Behley, Johannes Betz, Cyrill Stachniss
2025 J jnl
Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps.
CoRR
Khanh Son Pham, Christian Witte, Jens Behley, Johannes Betz, Cyrill Stachniss
2025 J jnl
Data-Driven Reachability Analysis for Piecewise Affine System.
CoRR
Peng Xie, Johannes Betz, Davide M. Raimondo, Amr Alanwar
2025 — conf
Data-Driven Reachability Analysis for Piecewise Affine Systems.
CDC
Peng Xie, Johannes Betz, Davide M. Raimondo, Amr Al-Anwar
2025 J jnl
Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response.
CoRR
Aron Distelzweig, Yiwei Wang, Faris Janjos, Marcel Hallgarten, Mihai Dobre, Alexander Langmann, Joschka Boedecker, Johannes Betz
2025 A conf
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving.
IROS
Dingrui Wang, Marc Kaufeld, Johannes Betz
2025 J jnl
Enhancing Physical Consistency in Lightweight World Models.
CoRR
Dingrui Wang, Zhexiao Sun, Zhouheng Li, Cheng Wang, Youlun Peng, Hongyuan Ye, Baha Zarrouki, Wei Li, Mattia Piccinini, Lei Xie, Johannes Betz
2025 J jnl
F1TENTH: Enhancing Autonomous Systems Education Through Hands-On Learning and Competition.
IEEE Trans. Intell. Veh.
Johannes Betz, Hongrui Zheng, Felix Jahncke, Zirui Zang, Florian Sauerbeck, Yahong Rosa Zheng, Joydeep Biswas, Venkat Krovi, Rahul Mangharam
2025 J jnl
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis.
CoRR
Yuan Gao, Mattia Piccinini, Yuchen Zhang, Dingrui Wang, Korbinian Möller, Roberto Brusnicki, Baha Zarrouki, Alessio Gambi, Jan Frederik Totz, Kai Storms, Steven Peters, Andrea Stocco, Bassam Alrifaee, Marco Pavone, Johannes Betz
2025 J jnl
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving.
CoRR
Korbinian Möller, Luis Schwarzmeier, Johannes Betz
2025 — conf
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios.
ITSC
Yuan Gao, Mattia Piccinini, Korbinian Möller, Amr Alanwar, Johannes Betz
2025 J jnl
GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians.
CoRR
Tomislav Pavkovic, Mohammad-Ali Nikouei Mahani, Johannes Niedermayer, Johannes Betz
2025 J jnl
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing.
CoRR
Frederik Werner, Ann-Kathrin Schwehn, Markus Lienkamp, Johannes Betz
2025 J jnl
Informed Hybrid Zonotope-based Motion Planning Algorithm.
CoRR
Peng Xie, Johannes Betz, Amr Al-Anwar
2025 A* conf
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits.
ICRA
Mattia Piccinini, Sebastiano Taddei, Johannes Betz, Francesco Biral
2025 J jnl
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits.
CoRR
Mattia Piccinini, Sebastiano Taddei, Johannes Betz, Francesco Biral
2025 J jnl
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning.
CoRR
Korbinian Möller, Roland Stroop, Mattia Piccinini, Alexander Langmann, Johannes Betz
2025 J jnl
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation.
CoRR
Felix Jahncke, Johannes Betz
2025 — conf
MP-RBFN: Learning-Based Vehicle Motion Primitives Using Radial Basis Function Networks.
ITSC
Marc Kaufeld, Mattia Piccinini, Johannes Betz
2025 J jnl
MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks.
CoRR
Marc Kaufeld, Mattia Piccinini, Johannes Betz
2025 — conf
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars.
ITSC
Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz
2025 J jnl
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars.
CoRR
Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz
2025 — conf
MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation.
ITSC
Marc Kaufeld, Korbinian Möller, Alessio Gambi, Paolo Arcaini, Johannes Betz
2025 J jnl
MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation.
CoRR
Marc Kaufeld, Korbinian Möller, Alessio Gambi, Paolo Arcaini, Johannes Betz
2025 J jnl
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving.
CoRR
Yuan Gao, Mattia Piccinini, Roberto Brusnicki, Yuchen Zhang, Johannes Betz
2025 J jnl
Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments.
CoRR
Alexander Langmann, Levent Ögretmen, Frederik Werner, Johannes Betz
2025 J jnl
Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios.
CoRR
Korbinian Möller, Truls Nyberg, Jana Tumova, Johannes Betz
2025 J jnl
Precise and Efficient Collision Prediction under Uncertainty in Autonomous Driving.
CoRR
Marc Kaufeld, Johannes Betz
2025 J jnl
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving.
CoRR
Alexander Langmann, Yevhenii Tokarev, Mattia Piccinini, Korbinian Möller, Johannes Betz
2025 J jnl
Risk-Aware Driving Scenario Analysis with Large Language Models.
CoRR
Yuan Gao, Mattia Piccinini, Johannes Betz
2025 J jnl
RoGER-SLAM: A Robust Gaussian Splatting SLAM System for Noisy and Low-light Environment Resilience.
CoRR
Huilin Yin, Zhaolin Yang, Linchuan Zhang, Gerhard Rigoll, Johannes Betz
2025 J jnl
SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection.
CoRR
Roberto Brusnicki, David Pop, Yuan Gao, Mattia Piccinini, Johannes Betz
2025 A conf
Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example.
IROS
Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz
2025 J jnl
Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example.
CoRR
Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz
2025 J jnl
Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap.
CoRR
Jianye Xu, Bassam Alrifaee, Johannes Betz, Armin Mokhtarian, Archak Mittal, Mengchi Cai, Rahul Mangharam, Omar M. Shehata, Catherine M. Elias, Jan-Nico Zaech, Patrick Scheffe, Felix Jahncke, Sangeet Sankaramangalam Ulhas, Kaj Munhoz Arfvidsson
2025 J jnl
TARO: Toward Semantically Rich Open-World Object Detection.
CoRR
Yuchen Zhang, Yao Lu, Johannes Betz
2025 J jnl
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
CoRR
Dingrui Wang, Hongyuan Ye, Zhihao Liang, Zhexiao Sun, Zhaowei Lu, Yuchen Zhang, Yuyu Zhao, Yuan Gao, Marvin Seegert, Finn Schäfer, Haotong Qin, Wei Li, Luigi Palmieri, Felix Jahncke, Mattia Piccinini, Johannes Betz
2025 — conf
Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms.
ICVES
Korbinian Möller, Rafael Neher, Marvin Seegert, Johannes Betz
2025 J jnl
Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms.
CoRR
Korbinian Möller, Rafael Neher, Marvin Seegert, Johannes Betz
2025 — conf
Unsupervised Learning for Detection of Rare Driving Scenarios.
ITSC
Dat Le, Thomas Manhardt, Moritz Venator, Johannes Betz
2025 J jnl
Unsupervised Learning for Detection of Rare Driving Scenarios.
CoRR
Dat Le, Thomas Manhardt, Moritz Venator, Johannes Betz
2024 B conf
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation.
RTCSA
Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz
2024 J jnl
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation.
CoRR
Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz
2024 C conf
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving.
IV
Rainer Trauth, Alexander Hobmeier, Johannes Betz
2024 J jnl
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving.
CoRR
Rainer Trauth, Alexander Hobmeier, Johannes Betz
2024 C conf
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control.
IV
Baha Zarrouki, Marios Spanakakis, Johannes Betz
2024 J jnl
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control.
CoRR
Baha Zarrouki, Marios Spanakakis, Johannes Betz
2024 C conf
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control.
ACC
Baha Zarrouki, Chenyang Wang, Johannes Betz
2024 J jnl
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms.
CoRR
Armin Mokhtarian, Jianye Xu, Patrick Scheffe, Maximilian Kloock, Simon Schäfer, Heeseung Bang, Viet-Anh Le, Sangeet Sankaramangalam Ulhas, Johannes Betz, Sean Wilson, Spring Berman, Liam Paull, Amanda Prorok, Bassam Alrifaee
2024 J jnl
A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness.
CoRR
Johannes Betz, Melina Lutwitzi, Steven Peters
2024 C conf
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study.
IV
Frederik Werner, René Oberhuber, Johannes Betz
2024 J jnl
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study.
CoRR
Frederik Werner, René Oberhuber, Johannes Betz
2024 A conf
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control.
IROS
Baha Zarrouki, Chenyang Wang, Johannes Betz
2024 J jnl
DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles.
IEEE Trans. Instrum. Meas.
Linchuan Zhang, Huilin Yin, Wei Ye, Johannes Betz
2024 J jnl
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving.
CoRR
Dingrui Wang, Marc Kaufeld, Johannes Betz
2024 A* conf
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios.
ICRA
Dingrui Wang, Zheyuan Lai, Yuda Li, Yi Wu, Yuexin Ma, Johannes Betz, Ruigang Yang, Wei Li
2024 J jnl
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios.
CoRR
Dingrui Wang, Zheyuan Lai, Yuda Li, Yi Wu, Yuexin Ma, Johannes Betz, Ruigang Yang, Wei Li
2024 J jnl
Editorial: Special Issue on Opportunities and Challenges with Autonomous Racing.
Field Robotics
Johannes Betz, Venkat Krovi, Rahul Mangharam, Madhur Behl
2024 A conf
End-To-End Timing Analysis and Optimization of Multi-Executor ROS 2 Systems.
RTAS
Harun Teper, Tobias Betz, Mario Günzel, Dominic Ebner, Georg von der Brüggen, Johannes Betz, Jian-Jia Chen
2024 J jnl
FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving.
IEEE Access
Rainer Trauth, Korbinian Moeller, Gerald Würsching, Johannes Betz
2024 C conf
FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap.
IV
Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz
2024 J jnl
FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap.
CoRR
Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz
2024 J jnl
Frenetix Motion Planner: High-Performance and Modular Trajectory Planning Algorithm for Complex Autonomous Driving Scenarios.
CoRR
Korbinian Möller, Rainer Trauth, Gerald Würsching, Johannes Betz
2024 C conf
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles.
IV
Marc Kaufeld, Rainer Trauth, Johannes Betz
2024 J jnl
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles.
CoRR
Marc Kaufeld, Rainer Trauth, Johannes Betz
2024 J jnl
Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops.
IEEE Trans. Veh. Technol.
Linchuan Zhang, Wei Ye, Jun Yan, Hao Zhang, Johannes Betz, Huilin Yin
2024 — conf
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames.
ITSC
Matthias Rowold, Alexander Langmann, Boris Lohmann, Johannes Betz
2024 J jnl
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames.
CoRR
Matthias Rowold, Alexander Langmann, Boris Lohmann, Johannes Betz
2024 C conf
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety.
IV
Korbinian Möller, Rainer Trauth, Johannes Betz
2024 J jnl
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety.
CoRR
Korbinian Möller, Rainer Trauth, Johannes Betz
2024 J jnl
Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles.
CoRR
Niklas Kochdumper, Youran Wang, Johannes Betz, Matthias Althoff
2024 A conf
Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality.
IROS
Sven Goblirsch, Marcel Weinmann, Johannes Betz
2024 J jnl
Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality.
CoRR
Sven Goblirsch, Marcel Weinmann, Johannes Betz
2023 C conf
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing.
IV
Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam
2023 J jnl
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control.
CoRR
Baha Zarrouki, Chenyang Wang, Johannes Betz
2023 J jnl
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control.
CoRR
Baha Zarrouki, Chenyang Wang, Johannes Betz
2023 — conf
Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor.
ICAR
Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan
2023 C conf
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles.
IV
Sebastian Huch, Florian Sauerbeck, Johannes Betz
2023 J jnl
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles.
CoRR
Sebastian Huch, Florian Sauerbeck, Johannes Betz
2023 J jnl
Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform.
CoRR
Zhijie Qiao, Helen Loeb, Venkata Gurrla, Matt Lebermann, Johannes Betz, Rahul Mangharam
2023 J jnl
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application.
CoRR
Phillip Karle, Tobias Betz, Marcin Bosk, Felix Fent, Nils Gehrke, Maximilian Geisslinger, Luis Gressenbuch, Philipp Hafemann, Sebastian Huber, Maximilian Hübner, Sebastian Huch, Gemb Kaljavesi, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer, Jörg Ott, Markus Lienkamp
2023 — conf
Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment.
ITSC
Huilin Yin, Mina Sun, Linchuan Zhang, Jun Yan, Johannes Betz
2023 C conf
How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software.
IV
Tobias Betz, Maximilian Schmeller, Harun Teper, Johannes Betz
2023 C conf
Latency Measurement for Autonomous Driving Software Using Data Flow Extraction.
IV
Tobias Betz, Maximilian Schmeller, Andreas Korb, Johannes Betz
2023 J jnl
Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems.
IEEE Access
Florian Sauerbeck, Sebastian Huch, Felix Fent, Phillip Karle, Dominik Kulmer, Johannes Betz
2023 C conf
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning.
IV
Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz
2023 A* conf
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks.
ICRA
Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam
2023 — conf
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving.
SENSORS
Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz
2023 J jnl
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving.
CoRR
Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz
2023 J jnl
R
CoRR
Baha Zarrouki, João Nunes, Johannes Betz
2023 J jnl
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge.
J. Field Robotics
Johannes Betz, Tobias Betz, Felix Fent, Maximilian Geisslinger, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Markus Lienkamp, Boris Lohmann, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski
2023 B conf
Timing-Aware ROS 2 Architecture and System Optimization.
RTCSA
Harun Teper, Tobias Betz, Georg von der Brüggen, Kuan-Hsun Chen, Johannes Betz, Jian-Jia Chen
2022 J jnl
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing.
CoRR
Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam
2022 J jnl
Accelerating Online Reinforcement Learning via Supervisory Safety Systems.
CoRR
Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan
2022 J jnl
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing.
CoRR
Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
2022 Misc conf
Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles.
COMSNETS
Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam
2022 J jnl
Game-theoretic Objective Space Planning.
CoRR
Hongrui Zheng, Zhijun Zhuang, Johannes Betz, Rahul Mangharam
2022 J jnl
Gradient-free Multi-domain Optimization for Autonomous Systems.
CoRR
Hongrui Zheng, Johannes Betz, Rahul Mangharam
2022 J jnl
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits.
CoRR
Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann
2022 J jnl
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks.
CoRR
Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam
2022 J jnl
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps.
CoRR
Florian Sauerbeck, Benjamin Obermeier, Martin Rudolph, Johannes Betz
2022 J jnl
Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison.
IEEE Trans. Intell. Transp. Syst.
Phillip Karle, Maximilian Geisslinger, Johannes Betz, Markus Lienkamp
2022 C conf
Stress Testing Autonomous Racing Overtake Maneuvers with RRT.
IV
Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam
2022 J jnl
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge.
CoRR
Johannes Betz, Tobias Betz, Felix Fent, Maximilian Geisslinger, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Markus Lienkamp, Boris Lohmann, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski
2022 J jnl
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom.
CoRR
Johannes Betz, Hongrui Zheng, Zirui Zang, Florian Sauerbeck, Krzysztof Walas, Velin Dimitrov, Madhur Behl, Rosa Zheng, Joydeep Biswas, Venkat Krovi, Rahul Mangharam
2022 J jnl
Unified Mobility Estimation Mode.
CoRR
David Ziegler, Johannes Betz, Markus Lienkamp
2022 C conf
Wheel Speed Is All You Need: How to Efficiently Detect Automotive Damper Defects Using Frequency Analysis.
IV
Sebastian Huber, Johannes Betz, Markus Lienkamp
2022 C conf
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack.
IV
Zirui Zang, Renukanandan Tumu, Johannes Betz, Hongrui Zheng, Rahul Mangharam
2022 J jnl
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack.
CoRR
Zirui Zang, Renukanandan Tumu, Johannes Betz, Hongrui Zheng, Rahul Mangharam
2021 — conf
End-to-End Neural Network for Vehicle Dynamics Modeling.
CIST
Leonhard Hermansdorfer, Rainer Trauth, Johannes Betz, Markus Lienkamp
2021 J jnl
Multi-Task End-to-End Self-Driving Architecture for CAV Platoons.
Sensors
Sebastian Huch, Aybike Ongel, Johannes Betz, Markus Lienkamp
2021 J jnl
Radar Voxel Fusion for 3D Object Detection.
CoRR
Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp
2021 J jnl
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling.
IEEE Trans. Intell. Veh.
Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
2021 J jnl
Stress Testing Autonomous Racing Overtake Maneuvers with RRT.
CoRR
Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam
2021 J jnl
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars.
CoRR
Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam
2021 — conf
Unified Mobility Estimation Model.
ITSC
David Ziegler, Johannes Betz, Markus Lienkamp
2021 B conf
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction.
SMC
Maximilian Geisslinger, Phillip Karle, Johannes Betz, Markus Lienkamp
2020 J jnl
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection.
CoRR
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
2020 — conf
An Open-Source Scenario Architect for Autonomous Vehicles.
EVER
Tim Stahl, Johannes Betz
2020 J jnl
An Open-Source Scenario Architect for Autonomous Vehicles.
CoRR
Tim Stahl, Johannes Betz
2020 — conf
Benchmarking of a software stack for autonomous racing against a professional human race driver.
EVER
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
2020 J jnl
Benchmarking of a software stack for autonomous racing against a professional human race driver.
CoRR
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
2020 J jnl
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control.
CoRR
Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp
2020 — conf
Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data.
ITSC
Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp
2020 J jnl
Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data.
CoRR
Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp
2020 — conf
Importance of Contextual Information for the Detection of Road Damages.
EVER
Konstantin Riedl, Sebastian Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz
2020 — conf
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar.
ITSC
Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp
2020 J jnl
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar.
CoRR
Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp
2020 J jnl
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios.
CoRR
Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp
2020 — conf
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module.
ITSC
Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer
2020 J jnl
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module.
CoRR
Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer
2020 — conf
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension.
EVER
Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp
2020 J jnl
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension.
CoRR
Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp
2020 J jnl
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling.
CoRR
Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
2020 — conf
Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing.
CDC
Alexander Wischnewski, Johannes Betz, Boris Lohmann
2020 — conf
Techno-Economic Analysis of State-of-the-Art Charging Infrastructure Concepts for Typical Commercial Battery Electric Vehicle Fleets.
ITSC
Adam Waclaw, Felix Gotzler, Johannes Betz, Markus Lienkamp
2019 — conf
A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar.
ITSC
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
2019 — conf
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection.
SDF
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
2019 — conf
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar.
ICCVE
Alexander Wischnewski, Johannes Betz, Boris Lohmann
2019 — conf
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars.
EVER
Alexander Heilmeier, Maximilian Geisslinger, Johannes Betz
2019 — conf
A Software Architecture for an Autonomous Racecar.
VTC Spring
Johannes Betz, Alexander Wischnewski, Alexander Heilmeier, Felix Nobis, Tim Stahl, Leonhard Hermansdorfer, Markus Lienkamp
2019 — conf
A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling.
ICCVE
Johannes Betz, Alexander Wischnewski, Alexander Heilmeier, Felix Nobis, Leonhard Hermansdorfer, Tim Stahl, Thomas Herrmann, Markus Lienkamp
2019 — conf
Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments.
ICVARS
Felix Nobis, Johannes Betz, Leonhard Hermansdorfer, Markus Lienkamp
2019 — conf
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control.
ITSC
Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp
2019 — conf
IMU-based Assessment of Ankle Inversion Kinematics and Orthosis Migration.
EMBC
Johannes Betz, Christoph Klingspor, Thomas Seel
2019 — conf
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios.
ITSC
Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp
2019 C conf
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich.
IV
Konstantin Riedl, Sebastian Kurscheid, Andreas Noll, Johannes Betz, Markus Lienkamp
2019 J jnl
SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines.
Sensors
Pablo R. Palafox, Johannes Betz, Felix Nobis, Konstantin Riedl, Markus Lienkamp
2019 — conf
Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies.
EVER
Adam Waclaw, Johannes Betz, Markus Lienkamp
2017 — conf
A holistic framework for acquisition, processing and evaluation of vehicle fleet test data.
ITSC
Michael Wittmann, Jürgen Lohrer, Johannes Betz, Benedikt Jäger, Maria Kugler, Manfred Klöppel, Adam Waclaw, Moritz Hann, Markus Lienkamp
2017 B conf
Analysis of the charging infrastructure for battery electric vehicles in commercial companies.
Intelligent Vehicles Symposium
Johannes Betz, Leonhard Walther, Markus Lienkamp
2017 — conf
Evaluation of the Potential of Integrating Battery Electric Vehicles into Commercial Companies on the Basis of Fleet Test Data.
VTC Spring
Johannes Betz, Moritz Hann, Benedikt Jäger, Markus Lienkamp