Peer-Reviewed Journal Paper
Peer-Reviewed Journal Paper
2022 |
Autonomous vehicles on the edge: A survey on autonomous vehicle racing J. Betz, H. Zheng, A. Liniger, U. Rosolia, P. Karle, M. Behl, V. Krovi, R. Mangharam IEEE Open Journal of Intelligent Transportation Systems, vol. 3., pp. 458–488 2022 doi: 10.1109/ojits.2022.3181510, PDF
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Scenario Understanding and Motion Prediction for Autonomous Vehicles – Review and Comparison P. Karle, M. Geisslinger, J. Betz, M. Lienkamp IEEE Transactions on Intelligent Transportation Systems, vol. 3., pp. 458–488 2022 doi: 10.1109/ojits.2022.3181510, PDF
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2021 |
Radar Voxel Fusion for 3D Object Detection F. Nobis, E. Shafiei, P. Karle, J. Betz, M. Lienkamp Applied Sciences, vol. 11, no. 12, p. 5598, 2021 doi: 10.3390/app11125598, PDF
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Autonomous Driving Ethics: from Trolley Problem to Ethics of Risk M. Geisslinger, F. Poszler, J. Betz, C. Luetge and M. Lienkamp Philosophy & Technology, 2021 doi: 10.1007/s13347-021-00449-4, PDF
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Kernel Point Convolution LSTM Networks for Radar Point Cloud Segmentation F. Nobis, F. Fent, J. Betz, and M. Lienkamp Applied Sciences, vol. 11, no. 6, p. 2599, 2021 doi: 10.3390/app11062599, PDF
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Multi-Task End-to-End Self-Driving Architecture for CAV Platoons S. Huch, A. Ongel, J. Betz, and M. Lienkamp Sensors, vol. 21, no. 4, p. 1039, 2021 doi: 10.3390/s21041039, PDF
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2020 |
Real-Time Adaptive Velocity Optimization for Autonomous Electric Race Cars T. Herrmann, A. Wischnewski, L. Hermansdorfer, J. Betz, M. Lienkamp EEE Trans. Intell. Veh., pp. 1–1, 2020 doi: 10.1109/TIV.2020.3047858, PDF
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Virtual Strategy Engineer: Using Artificial Neural Networks for Making Race Strategy Decisions in Circuit Motorsport A. Heilmeier, A. Thomaser, M. Graf, and J. Betz Applied Sciences, vol. 10, no. 21, p. 7805, 2020 doi: 10.3390/app10217805, PDF
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Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport A. Heilmeier, M. Graf, J. Betz, and M. Lienkamp Applied Sciences, vol. 10, no. 12, p. 4229, 2020 doi: 10.3390/app10124229, PDF
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2019 |
Autonomous Driving—A Crash Explained in Detail J. Betz, A. Heilmeier, A. Wischnewski, T. Stahl and M. Lienkamp Applied Sciences, vol. 9, no. 23, p. 5126, 2019 doi: 10.3390/app9235126, PDF
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SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines P. R. Palafox, J. Betz, F. Nobis, K. Riedl, and M. Lienkamp Sensors, vol. 19, no. 14, p. 3224, 2019 doi: 10.3390/s19143224, PDF
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Minimum curvature trajectory planning and control for an autonomous race car A. Heilmeier, A. Wischnewski, L. Hermansdorfer, J. Betz, M. Lienkamp, B. Lohmann Vehicle System Dynamics, vol. 58, no. 10, pp. 1497–1527, 2019 doi: 10.1080/00423114.2019.1631455, PDF
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2016 |
Approach for the development of a method for the integration of battery electric vehicles in commercial companies, including intelligent management systems J. Betz and M. Lienkamp Automot. Engine Technol., vol. 1, no. 1–4, pp. 107–117, 2016 doi: 10.1007/s41104-016-0008-y, PDF
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2014 |
EE-Architektur für mobile Dienste T. Tang, D. Soto-Setzke, C. Kohl, T. Köhn, J. Lohrer, and J. Betz TZ Extra, vol. 19, no. 14, pp. 40–45, 2014 doi: 10.1365/s35778-014-1356-8, PDF
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Peer-Reviewed Conference Publications
2021 |
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction M. Geisslinger, P. Karle, J. Betz, M. Lienkamp IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021 doi: In Print,PDF |
Unified Mobility Estimation Model D. Ziegler, J. Betz, M. Lienkamp 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021 doi: 10.1109/itsc48978.2021.9564453,PDF |
Track based offline policy learning for overtaking maneuvers with autonomous racecars J. Bhargav, J. Betz, H. Zheng, and R. Mangharam 2021 IEEE International Conference on Robotics and Automation (ICRA 2021) – Workshop Opportunities and Challenges With Autonomous Racing, 2021 doi: arxiv.org/abs/2107.09782,PDF |
2020 |
End-to-End Neural Network for Vehicle Dynamics Modeling – Best Paper Award L. Hermansdorfer, R. Trauth, J. Betz, M. Lienkamp 3rd IEEE Conference on Optimization and Modeling of Complex Systems, Agadir, Morocco, December 2020, 2020 doi: 10.1109/cist49399.2021.9357196,PDF |
Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing A. Wischnewski, J. Betz, and B. Lohmann 2020 59th IEEE Conference on Decision and Control (CDC), 2020 doi: 10.1109/cdc42340.2020.9304230,PDF |
Techno-Economic Analysis of State-of-the-Art Charging Infrastructure Concepts for Typical Commercial Battery Electric Vehicle Fleets A. Waclaw, F. Gotzler, J. Betz 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020 doi: 10.1109/itsc45102.2020.9294197,PDF |
Online Verification Concept for Autonomous Vehicles – Illustrative Study for a Trajectory Planning Module T. Stahl, M. Eicher, J. Betz, and F. Diermeyer 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020 doi: 10.1109/ITSC45102.2020.9294703,PDF |
Exploring the Capabilities and Limits of 3D Monocular Object Detection – A Study on Simulation and Real World Data F. Nobis, F. Brunhuber, S. Janssen, J. Betz, and M. Lienkamp 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020 doi: 10.1109/ITSC45102.2020.9294625,PDF |
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar T. Herrmann, F. Passigato, J. Betz, and M. Lienkamp 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020 doi: 10.1109/ITSC45102.2020.9294681,PDF |
An Open-Source Scenario Architect for Autonomous Vehicles T. Stahl and J. Betz 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020 doi: 10.1109/ever48776.2020.9243029,PDF |
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension F. Nobis, O. Papanikolaou, J. Betz, and M. Lienkamp 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020 doi: 10.1109/ever48776.2020.9243094,PDF |
Importance of Contextual Information for the Detection of Road Damages K. Riedl, S. Huber, M. Bomer, J. Kreibich, F. Nobis, and J. Betz 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020 doi: 10.1109/ever48776.2020.9242954,PDF |
Benchmarking of a software stack for autonomous racing against a professional human race driver L. Hermansdorfer, J. Betz, and M. Lienkamp 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020 doi: 10.1109/ever48776.2020.9242926,PDF |
2019 |
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection F. Nobis, M. Geisslinger, M. Weber, J. Betz, and M. Lienkamp 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2019 doi: 10.1109/SDF.2019.8916629,PDF |
A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling J. Betz, A. Wischnewski, A. Heilmeier, F. Nobis, T. Stahl, L. Hermansdorfer, T. Herrmann, M. Lienkamp 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019 doi: 10.1109/ICCVE45908.2019.8965238,PDF |
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar A. Wischnewski, J. Betz, and B. Lohmann 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019 doi: 10.1109/ICCVE45908.2019.8965218,PDF |
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control T. Herrmann, F. Christ, J. Betz, and M. Lienkamp 2019 IEEE Intelligent Transportation Systems Conference – ITSC, 2019 doi: 10.1109/ITSC.2019.8917154,PDF |
A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar L. Hermansdorfer, J. Betz, and M. Lienkamp 2019 IEEE Intelligent Transportation Systems Conference – ITSC, 2019 doi: 10.1109/ITSC.2019.8917024,PDF |
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios T. Stahl, A. Wischnewski, J. Betz, and M. Lienkamp 2019 IEEE Intelligent Transportation Systems Conference – ITSC, 2019 doi: 10.1109/itsc.2019.8917032,PDF |
Vehicle Dynamics State Estimation and Localization for High Performance Race Cars – Young Author Award A. Wischnewski, T. Stahl, J. Betz, and B. Lohmann IFAC-PapersOnLine, vol. 52, no. 8, pp. 154–161, 2019 doi: 10.1016/j.ifacol.2019.08.064,PDF |
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich K. Riedl, S. Kurscheid, A. Noll, J. Betz, and M. Lienkamp 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 doi: 10.1109/IVS.2019.8814020,PDF |
Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies A. Waclaw, J. Betz, M. Lienkamp 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2019 doi: 10.1109/EVER.2019.8813533,PDF |
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars A. Heilmeier, M. Geisslinger, and J. Betz 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2019 doi: 10.1109/EVER.2019.8813646,PDF |
A Software Architecture for an Autonomous Racecar T. Stahl, A. Wischnewski, J. Betz, and M. Lienkamp 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019 doi: 10.1109/VTCSpring.2019.8746367,PDF |
ROS-based localization of a race vehicle at high-speed using LIDAR T. Stahl, A. Wischnewski, J. Betz, and M. Lienkamp E3S Web of Conferences, 2019 doi: 10.1051/e3sconf/20199504002,PDF |
Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments F. Nobis, J. Betz, L. Hermansdorfer, and M. Lienkamp ICVARS ’19: 2019 the 3rd International Conference on Virtual and Augmented Reality Simulations, 2019 doi: 10.1145/3332305.3332319,PDF |
2018 |
What can we learn from autonomous level 5 Motorsport? J. Betz, A. Wischnewski, A. Heilmeier, F. Nobis, T. Stahl, L. Hermansdorfer, B. Lohmann M. Lienkamp Proceedings, Springer Fachmedien Wiesbaden, 2018 doi: 10.1007/978-3-658-22050-1_12,PDF |
2017 |
A Holistic Framework for Acquisition, Processing and Evaluation of Vehicle Fleet Test Data M. Wittmann, L. Lohrer, J. Betz, B. Jäger, M. Ott, M. Klöppel, M. Hann, M. Lienkamp IEEE International Conference on Intelligent Transportation Systems (ITSC 17), 2017 doi: 10.1109/ITSC.2017.8317637,PDF |
Analysis of the Charging Infrastructure for Battery Electric Vehicles in Commercial Companies J. Betz, L. Walther, M. Lienkamp IEEE Intelligent Vehicle Symposium (IV 17), 2017 doi: 10.1109/IVS.2017.7995945 ,PDF |
Evaluation of the Potential of Integrating Battery Electric Vehicles into Commercial Companies on the Basis of Fleet Test Data J. Betz, M. Hann, B. Jäger, M. Lienkamp 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 2017 doi: 10.1109/VTCSpring.2017.8108289,PDF |
An evaluation of the car-free city potential for the city of Munich regarding mobility data J. Betz, S. Prottung, and M. Lienkamp 2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2017 doi: 10.1109/ever.2017.7935875,PDF |
2016 |
Evaluation of the potential of integrating battery electric vehicles into the energy structure of a commercial company J. Betz, T. Scholz, and M. Lienkamp 2016 IEEE Smart Energy Grid Engineering (SEGE), 2016 doi: 10.1109/sege.2016.7589541, PDF |
Fleet disposition modeling to maximize utilization of battery electric vehicles in companies with on-site energy generation J. Betz, D. Werner, M. Lienkamp Transportation Research Procedia, 2016 doi: 10.1016/j.trpro.2016.12.084, PDF |