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Johannes Betz
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- affiliation: Technical University of Munich, Germany
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2020 – today
- 2024
- [j10]Rainer Trauth, Korbinian Moeller, Gerald Würsching, Johannes Betz:
FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving. IEEE Access 12: 127426-127439 (2024) - [j9]Johannes Betz, Venkat Krovi, Rahul Mangharam, Madhur Behl:
Editorial: Special Issue on Opportunities and Challenges with Autonomous Racing. Field Robotics 4(1): 246-248 (2024) - [j8]Linchuan Zhang, Huilin Yin, Wei Ye, Johannes Betz:
DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - [j7]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): 10916-10931 (2024) - [c51]Baha Zarrouki, Chenyang Wang, Johannes Betz:
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control. ACC 2024: 5466-5473 - [c50]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: 13030-13037 - [c49]Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz:
FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. IV 2024: 272-278 - [c48]Frederik Werner, René Oberhuber, Johannes Betz:
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study. IV 2024: 329-336 - [c47]Marc Kaufeld, Rainer Trauth, Johannes Betz:
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. IV 2024: 803-810 - [c46]Korbinian Möller, Rainer Trauth, Johannes Betz:
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. IV 2024: 819-826 - [c45]Baha Zarrouki, Marios Spanakakis, Johannes Betz:
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. IV 2024: 1401-1408 - [c44]Rainer Trauth, Alexander Hobmeier, Johannes Betz:
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. IV 2024: 2413-2420 - [c43]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: 212-224 - [c42]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. RTCSA 2024: 57-66 - [i46]Korbinian Möller, Rainer Trauth, Gerald Würsching, Johannes Betz:
Frenetix Motion Planner: High-Performance and Modular Trajectory Planning Algorithm for Complex Autonomous Driving Scenarios. CoRR abs/2402.01443 (2024) - [i45]Rainer Trauth, Alexander Hobmeier, Johannes Betz:
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. CoRR abs/2402.01465 (2024) - [i44]Korbinian Möller, Rainer Trauth, Johannes Betz:
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. CoRR abs/2402.01507 (2024) - [i43]Matthias Rowold, Alexander Langmann, Boris Lohmann, Johannes Betz:
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames. CoRR abs/2402.01918 (2024) - [i42]Baha Zarrouki, Marios Spanakakis, Johannes Betz:
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. CoRR abs/2402.02624 (2024) - [i41]Marc Kaufeld, Rainer Trauth, Johannes Betz:
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. CoRR abs/2402.04720 (2024) - [i40]Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz:
FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. CoRR abs/2404.10879 (2024) - [i39]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 abs/2404.12683 (2024) - [i38]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 abs/2404.17044 (2024) - [i37]Frederik Werner, René Oberhuber, Johannes Betz:
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study. CoRR abs/2405.02620 (2024) - [i36]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 abs/2405.04100 (2024) - [i35]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:
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. CoRR abs/2408.14199 (2024) - [i34]Sven Goblirsch, Marcel Weinmann, Johannes Betz:
Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality. CoRR abs/2408.14885 (2024) - [i33]Dingrui Wang, Marc Kaufeld, Johannes Betz:
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving. CoRR abs/2409.18053 (2024) - 2023
- [j6]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: 44034-44050 (2023) - [j5]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): 783-809 (2023) - [c41]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: 325-331 - [c40]Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. ICRA 2023: 11742-11748 - [c39]Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz:
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. SENSORS 2023: 1-4 - [c38]Huilin Yin, Mina Sun, Linchuan Zhang, Jun Yan, Johannes Betz:
Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment. ITSC 2023: 3192-3199 - [c37]Tobias Betz, Maximilian Schmeller, Andreas Korb, Johannes Betz:
Latency Measurement for Autonomous Driving Software Using Data Flow Extraction. IV 2023: 1-8 - [c36]Tobias Betz, Maximilian Schmeller, Harun Teper, Johannes Betz:
How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software. IV 2023: 1-6 - [c35]Sebastian Huch, Florian Sauerbeck, Johannes Betz:
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. IV 2023: 1-8 - [c34]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: 1-5 - [c33]Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz:
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. IV 2023: 1-8 - [c32]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: 206-215 - [i32]Zhijie Qiao, Helen Loeb, Venkata Gurrla, Matt Lebermann, Johannes Betz, Rahul Mangharam:
Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform. CoRR abs/2302.08613 (2023) - [i31]Sebastian Huch, Florian Sauerbeck, Johannes Betz:
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. CoRR abs/2305.06820 (2023) - [i30]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 abs/2309.15492 (2023) - [i29]Baha Zarrouki, Chenyang Wang, Johannes Betz:
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control. CoRR abs/2310.18753 (2023) - [i28]Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz:
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. CoRR abs/2311.01823 (2023) - [i27]Baha Zarrouki, Chenyang Wang, Johannes Betz:
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control. CoRR abs/2311.04303 (2023) - [i26]Baha Zarrouki, João Nunes, Johannes Betz:
R2NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control. CoRR abs/2311.06420 (2023) - 2022
- [j4]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): 16962-16982 (2022) - [c31]Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles. COMSNETS 2022: 859-864 - [c30]Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam:
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. IV 2022: 806-812 - [c29]Sebastian Huber, Johannes Betz, Markus Lienkamp:
Wheel Speed Is All You Need: How to Efficiently Detect Automotive Damper Defects Using Frequency Analysis. IV 2022: 1460-1465 - [c28]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: 1757-1764 - [i25]David Ziegler, Johannes Betz, Markus Lienkamp:
Unified Mobility Estimation Mode. CoRR abs/2201.04931 (2022) - [i24]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 abs/2202.03807 (2022) - [i23]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 abs/2202.07008 (2022) - [i22]Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Gradient-free Multi-domain Optimization for Autonomous Systems. CoRR abs/2202.13525 (2022) - [i21]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 abs/2205.15979 (2022) - [i20]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 abs/2206.00770 (2022) - [i19]Hongrui Zheng, Zhijun Zhuang, Johannes Betz, Rahul Mangharam:
Game-theoretic Objective Space Planning. CoRR abs/2209.07758 (2022) - [i18]Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan:
Accelerating Online Reinforcement Learning via Supervisory Safety Systems. CoRR abs/2209.11082 (2022) - [i17]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 abs/2209.11181 (2022) - [i16]Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. CoRR abs/2209.11925 (2022) - [i15]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 abs/2209.15073 (2022) - [i14]Florian Sauerbeck, Benjamin Obermeier, Martin Rudolph, Johannes Betz:
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps. CoRR abs/2212.02085 (2022) - 2021
- [j3]Sebastian Huch, Aybike Ongel, Johannes Betz, Markus Lienkamp:
Multi-Task End-to-End Self-Driving Architecture for CAV Platoons. Sensors 21(4): 1039 (2021) - [j2]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): 665-677 (2021) - [c27]Leonhard Hermansdorfer, Rainer Trauth, Johannes Betz, Markus Lienkamp:
End-to-End Neural Network for Vehicle Dynamics Modeling. CIST 2021: 407-412 - [c26]David Ziegler, Johannes Betz, Markus Lienkamp:
Unified Mobility Estimation Model. ITSC 2021: 3610-3617 - [c25]Maximilian Geisslinger, Phillip Karle, Johannes Betz, Markus Lienkamp:
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. SMC 2021: 869-875 - [i13]Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp:
Radar Voxel Fusion for 3D Object Detection. CoRR abs/2106.14087 (2021) - [i12]Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. CoRR abs/2107.09782 (2021) - [i11]Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam:
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. CoRR abs/2110.01095 (2021) - 2020
- [c24]Alexander Wischnewski, Johannes Betz, Boris Lohmann:
Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing. CDC 2020: 609-615 - [c23]Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp:
Benchmarking of a software stack for autonomous racing against a professional human race driver. EVER 2020: 1-8 - [c22]Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp:
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension. EVER 2020: 1-9 - [c21]Konstantin Riedl, Sebastian Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz:
Importance of Contextual Information for the Detection of Road Damages. EVER 2020: 1-7 - [c20]Tim Stahl, Johannes Betz:
An Open-Source Scenario Architect for Autonomous Vehicles. EVER 2020: 1-8 - [c19]Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp:
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar. ITSC 2020: 1-6 - [c18]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: 1-8 - [c17]Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer:
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module. ITSC 2020: 1-7 - [c16]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: 1-8 - [i10]Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp:
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar. CoRR abs/2005.07127 (2020) - [i9]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 abs/2005.07424 (2020) - [i8]Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp:
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension. CoRR abs/2005.07429 (2020) - [i7]Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp:
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. CoRR abs/2005.07431 (2020) - [i6]Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp:
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control. CoRR abs/2005.07439 (2020) - [i5]Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer:
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module. CoRR abs/2005.07740 (2020) - [i4]Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp:
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios. CoRR abs/2005.08664 (2020) - [i3]Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp:
Benchmarking of a software stack for autonomous racing against a professional human race driver. CoRR abs/2005.10044 (2020) - [i2]Tim Stahl, Johannes Betz:
An Open-Source Scenario Architect for Autonomous Vehicles. CoRR abs/2006.09731 (2020) - [i1]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 abs/2012.13586 (2020)
2010 – 2019
- 2019
- [j1]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): 3224 (2019) - [c15]Johannes Betz, Christoph Klingspor, Thomas Seel:
IMU-based Assessment of Ankle Inversion Kinematics and Orthosis Migration. EMBC 2019: 6395-6400 - [c14]Alexander Heilmeier, Maximilian Geisslinger, Johannes Betz:
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars. EVER 2019: 1-10 - [c13]Adam Waclaw, Johannes Betz, Markus Lienkamp:
Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies. EVER 2019: 1-11 - [c12]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: 1-8 - [c11]Alexander Wischnewski, Johannes Betz, Boris Lohmann:
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar. ICCVE 2019: 1-6 - [c10]Felix Nobis, Johannes Betz, Leonhard Hermansdorfer, Markus Lienkamp:
Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments. ICVARS 2019: 82-89 - [c9]Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp:
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control. ITSC 2019: 720-725 - [c8]Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp:
A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar. ITSC 2019: 1490-1495 - [c7]Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp:
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios. ITSC 2019: 3149-3154 - [c6]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: 1855-1860 - [c5]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: 1-7 - [c4]Johannes Betz, Alexander Wischnewski, Alexander Heilmeier, Felix Nobis, Tim Stahl, Leonhard Hermansdorfer, Markus Lienkamp:
A Software Architecture for an Autonomous Racecar. VTC Spring 2019: 1-6 - 2017
- [c3]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: 1-7 - [c2]Johannes Betz, Leonhard Walther, Markus Lienkamp:
Analysis of the charging infrastructure for battery electric vehicles in commercial companies. Intelligent Vehicles Symposium 2017: 1643-1649 - [c1]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: 1-7
Coauthor Index
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