Johannes Betz

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 99

Top Topics

Trajectory Planning

Predictive Control

Autonomous Vehicles

Reinforcement Learning

Top Venues

Publications

Harun Teper, Tobias Betz, Mario Günzel, Dominic Ebner, Georg von der Brüggen, Johannes Betz, Jian-Jia Chen
End-To-End Timing Analysis and Optimization of Multi-Executor ROS 2 Systems. RTAS (2024)
Marc Kaufeld, Rainer Trauth, Johannes Betz
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. IV (2024)
Marc Kaufeld, Rainer Trauth, Johannes Betz
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. CoRR (2024)
Frederik Werner, René Oberhuber, Johannes Betz
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study. CoRR (2024)
Rainer Trauth, Alexander Hobmeier, Johannes Betz
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. CoRR (2024)
Johannes Betz, Melina Lutwitzi, Steven Peters
A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness. CoRR (2024)
Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. CoRR (2024)
Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz
FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. CoRR (2024)
Matthias Rowold, Alexander Langmann, Boris Lohmann, Johannes Betz
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames. CoRR (2024)
Linchuan Zhang, Wei Ye, Jun Yan, Hao Zhang, Johannes Betz, Huilin Yin
Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops. IEEE Trans. Veh. Technol. 73 (8) (2024)
Frederik Werner, René Oberhuber, Johannes Betz
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study. IV (2024)
Korbinian Möller, Rainer Trauth, Gerald Würsching, Johannes Betz
Frenetix Motion Planner: High-Performance and Modular Trajectory Planning Algorithm for Complex Autonomous Driving Scenarios. CoRR (2024)
Korbinian Möller, Rainer Trauth, Johannes Betz
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. IV (2024)
Korbinian Möller, Rainer Trauth, Johannes Betz
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. CoRR (2024)
Baha Zarrouki, Marios Spanakakis, Johannes Betz
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. CoRR (2024)
Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz
FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. IV (2024)
Rainer Trauth, Alexander Hobmeier, Johannes Betz
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. IV (2024)
Baha Zarrouki, Marios Spanakakis, Johannes Betz
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. IV (2024)
Dingrui Wang, Zheyuan Lai, Yuda Li, Yi Wu, Yuexin Ma, Johannes Betz, Ruigang Yang, Wei Li
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios. CoRR (2024)
Dingrui Wang, Zheyuan Lai, Yuda Li, Yi Wu, Yuexin Ma, Johannes Betz, Ruigang Yang, Wei Li
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios. ICRA (2024)
Baha Zarrouki, João Nunes, Johannes Betz
NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control. CoRR (2023)
Florian Sauerbeck, Sebastian Huch, Felix Fent, Phillip Karle, Dominik Kulmer, Johannes Betz
Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. IEEE Access 11 (2023)
Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. IV (2023)
Harun Teper, Tobias Betz, Georg von der Brüggen, Kuan-Hsun Chen, Johannes Betz, Jian-Jia Chen
Timing-Aware ROS 2 Architecture and System Optimization. RTCSA (2023)
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
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. J. Field Robotics 40 (4) (2023)
Huilin Yin, Mina Sun, Linchuan Zhang, Jun Yan, Johannes Betz
Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment. ITSC (2023)
Sebastian Huch, Florian Sauerbeck, Johannes Betz
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. CoRR (2023)
Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. IV (2023)
Tobias Betz, Maximilian Schmeller, Harun Teper, Johannes Betz
How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software. IV (2023)
Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. ICRA (2023)
Tobias Betz, Maximilian Schmeller, Andreas Korb, Johannes Betz
Latency Measurement for Autonomous Driving Software Using Data Flow Extraction. IV (2023)
Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan
Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor. ICAR (2023)
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
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. CoRR (2023)
Sebastian Huch, Florian Sauerbeck, Johannes Betz
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. IV (2023)
Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. CoRR (2023)
Baha Zarrouki, Chenyang Wang, Johannes Betz
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control. CoRR (2023)
Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. SENSORS (2023)
Zhijie Qiao, Helen Loeb, Venkata Gurrla, Matt Lebermann, Johannes Betz, Rahul Mangharam
Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform. CoRR (2023)
Baha Zarrouki, Chenyang Wang, Johannes Betz
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control. CoRR (2023)
David Ziegler, Johannes Betz, Markus Lienkamp
Unified Mobility Estimation Mode. CoRR (2022)
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
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge. CoRR (2022)
Phillip Karle, Maximilian Geisslinger, Johannes Betz, Markus Lienkamp
Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. CoRR (2022)
Hongrui Zheng, Zhijun Zhuang, Johannes Betz, Rahul Mangharam
Game-theoretic Objective Space Planning. CoRR (2022)
Benjamin Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan
Accelerating Online Reinforcement Learning via Supervisory Safety Systems. CoRR (2022)
Florian Sauerbeck, Benjamin Obermeier, Martin Rudolph, Johannes Betz
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps. CoRR (2022)
Sebastian Huber, Johannes Betz, Markus Lienkamp
Wheel Speed Is All You Need: How to Efficiently Detect Automotive Damper Defects Using Frequency Analysis. IV (2022)
Johannes Betz, Hongrui Zheng, Zirui Zang, Florian Sauerbeck, Krzysztof Walas, Velin Dimitrov, Madhur Behl, Rosa Zheng, Joydeep Biswas, Venkat Krovi, Rahul Mangharam
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom. CoRR (2022)
Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. IV (2022)
Zirui Zang, Renukanandan Tumu, Johannes Betz, Hongrui Zheng, Rahul Mangharam
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack. CoRR (2022)
Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. CoRR (2022)
Jayanth Bhargav, Johannes Betz, Hongrui Zehng, Rahul Mangharam
Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles. COMSNETS (2022)
Hongrui Zheng, Johannes Betz, Rahul Mangharam
Gradient-free Multi-domain Optimization for Autonomous Systems. CoRR (2022)
Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. CoRR (2022)
Zirui Zang, Renukanandan Tumu, Johannes Betz, Hongrui Zheng, Rahul Mangharam
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack. IV (2022)
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
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. CoRR (2022)
Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. CoRR (2021)
Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling. IEEE Trans. Intell. Veh. 6 (4) (2021)
Maximilian Geisslinger, Phillip Karle, Johannes Betz, Markus Lienkamp
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. SMC (2021)
Leonhard Hermansdorfer, Rainer Trauth, Johannes Betz, Markus Lienkamp
End-to-End Neural Network for Vehicle Dynamics Modeling. CIST (2021)
Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. CoRR (2021)
Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp
Radar Voxel Fusion for 3D Object Detection. CoRR (2021)
Sebastian Huch, Aybike Ongel, Johannes Betz, Markus Lienkamp
Multi-Task End-to-End Self-Driving Architecture for CAV Platoons. Sensors 21 (4) (2021)
David Ziegler, Johannes Betz, Markus Lienkamp
Unified Mobility Estimation Model. ITSC (2021)
Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios. CoRR (2020)
Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar. CoRR (2020)
Konstantin Riedl, Sebastian Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz
Importance of Contextual Information for the Detection of Road Damages. EVER (2020)
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
Benchmarking of a software stack for autonomous racing against a professional human race driver. EVER (2020)
Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension. CoRR (2020)
Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp
Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data. CoRR (2020)
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. CoRR (2020)
Adam Waclaw, Felix Gotzler, Johannes Betz, Markus Lienkamp
Techno-Economic Analysis of State-of-the-Art Charging Infrastructure Concepts for Typical Commercial Battery Electric Vehicle Fleets. ITSC (2020)
Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling. CoRR (2020)
Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module. CoRR (2020)
Alexander Wischnewski, Johannes Betz, Boris Lohmann
Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing. CDC (2020)
Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar. ITSC (2020)
Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension. EVER (2020)
Tim Stahl, Johannes Betz
An Open-Source Scenario Architect for Autonomous Vehicles. EVER (2020)
Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control. CoRR (2020)
Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module. ITSC (2020)
Tim Stahl, Johannes Betz
An Open-Source Scenario Architect for Autonomous Vehicles. CoRR (2020)
Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp
Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data. ITSC (2020)
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
Benchmarking of a software stack for autonomous racing against a professional human race driver. CoRR (2020)
Konstantin Riedl, Sebastian Kurscheid, Andreas Noll, Johannes Betz, Markus Lienkamp
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich. IV (2019)
Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control. ITSC (2019)
Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios. ITSC (2019)
Alexander Wischnewski, Johannes Betz, Boris Lohmann
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar. ICCVE (2019)
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. SDF (2019)
Alexander Heilmeier, Maximilian Geisslinger, Johannes Betz
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars. EVER (2019)
Johannes Betz, Christoph Klingspor, Thomas Seel
IMU-based Assessment of Ankle Inversion Kinematics and Orthosis Migration. EMBC (2019)
Pablo R. Palafox, Johannes Betz, Felix Nobis, Konstantin Riedl, Markus Lienkamp
SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines. Sensors 19 (14) (2019)
Johannes Betz, Alexander Wischnewski, Alexander Heilmeier, Felix Nobis, Leonhard Hermansdorfer, Tim Stahl, Thomas Herrmann, Markus Lienkamp
A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling. ICCVE (2019)
Adam Waclaw, Johannes Betz, Markus Lienkamp
Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies. EVER (2019)
Johannes Betz, Alexander Wischnewski, Alexander Heilmeier, Felix Nobis, Tim Stahl, Leonhard Hermansdorfer, Markus Lienkamp
A Software Architecture for an Autonomous Racecar. VTC Spring (2019)
Felix Nobis, Johannes Betz, Leonhard Hermansdorfer, Markus Lienkamp
Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments. ICVARS (2019)
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar. ITSC (2019)
Johannes Betz, Moritz Hann, Benedikt Jäger, Markus Lienkamp
Evaluation of the Potential of Integrating Battery Electric Vehicles into Commercial Companies on the Basis of Fleet Test Data. VTC Spring (2017)
Michael Wittmann, Jürgen Lohrer, Johannes Betz, Benedikt Jäger, Maria Kugler, Manfred Klöppel, Adam Waclaw, Moritz Hann, Markus Lienkamp
A holistic framework for acquisition, processing and evaluation of vehicle fleet test data. ITSC (2017)
Johannes Betz, Leonhard Walther, Markus Lienkamp
Analysis of the charging infrastructure for battery electric vehicles in commercial companies. Intelligent Vehicles Symposium (2017)