Johannes Betz
Orcid: 0000-0001-9197-2849Affiliations:
- Technical University of Munich, Germany
According to our database1,
Johannes Betz
authored at least 69 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles.
CoRR, 2024
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control.
CoRR, 2024
CoRR, 2024
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety.
CoRR, 2024
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving.
CoRR, 2024
Frenetix Motion Planner: High-Performance and Modular Trajectory Planning Algorithm for Complex Autonomous Driving Scenarios.
CoRR, 2024
2023
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge.
J. Field Robotics, June, 2023
R<sup>2</sup>NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control.
CoRR, 2023
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control.
CoRR, 2023
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control.
CoRR, 2023
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application.
CoRR, 2023
Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform.
CoRR, 2023
Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems.
IEEE Access, 2023
Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor.
Proceedings of the 21st International Conference on Advanced Robotics, 2023
2022
Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison.
IEEE Trans. Intell. Transp. Syst., 2022
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom.
CoRR, 2022
CoRR, 2022
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Wheel Speed Is All You Need: How to Efficiently Detect Automotive Damper Defects Using Frequency Analysis.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022
2021
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling.
IEEE Trans. Intell. Veh., 2021
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars.
CoRR, 2021
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021
2020
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension.
CoRR, 2020
Techno-Economic Analysis of State-of-the-Art Charging Infrastructure Concepts for Typical Commercial Battery Electric Vehicle Fleets.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension.
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020
Benchmarking of a software stack for autonomous racing against a professional human race driver.
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines.
Sensors, 2019
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection.
Proceedings of the 2019 Sensor Data Fusion: Trends, Solutions, Applications, 2019
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments.
Proceedings of the 3rd International Conference on Virtual and Augmented Reality Simulations, 2019
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar.
Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019
A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling.
Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019
Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies.
Proceedings of the Fourteenth International Conference on Ecological Vehicles and Renewable Energies, 2019
Proceedings of the Fourteenth International Conference on Ecological Vehicles and Renewable Energies, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2017
Evaluation of the Potential of Integrating Battery Electric Vehicles into Commercial Companies on the Basis of Fleet Test Data.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Analysis of the charging infrastructure for battery electric vehicles in commercial companies.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
A holistic framework for acquisition, processing and evaluation of vehicle fleet test data.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017