Johannes Betz
Professor
Develops software for autonomous vehicles, including perception, planning and control algorithms tested in autonomous racing.
Johannes Betz's lab at TUM works on planning, control & multi-robot systems, autonomous vehicles & drones and embodied & active vision. 98 papers since 2023, mostly JFR and RA-L. 12 PhD students and 8 master's students. 37 alumni.
At a glance
- papers, 2023–2026
- 26/ year
- at T1 venues
- 0%
- PhD students
- 12
- MS students
- 8
- alumni listed
- 37
Papers by yearfrom the lab homepage, 2023–2026
- 36 papers2026 · T1 0 · collecting
- 22 papers2025 · T1 0
- 22 papers2024 · T1 0
- 18 papers2023 · T1 0
T1 venuesOtherVenues: JFR, RA-L
Research focuspaper titles that use each topic's words
- Autonomous vehicles & drones54 papers
- autonomous48 papers
- Planning, control & multi-robot systems42 papers
- Embodied & active vision2 papers
- tum1 paper
Paper list
From the lab homepage.
202636 papers
- IEEE International Conference on Intelligent Transportation Systems (ITSC)A Hybrid Sampling-Based Trajectory Planner with Game-Theoretic Guidance for Autonomous Racing
- IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS)A Multi-Stage Time-Variant Motion Planner for Agile Autonomous Driving Maneuvers
- IEEE International Conference on Intelligent Robots and Systems (IROS)A2RL Vmax: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction
- IEEE International Conference on Robotics and Automation (ICRA)Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation
- IEEE International Conference on Intelligent Transportation Systems (ITSC)Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing
- IEEE Intelligent Vehicles Symposium (IV)Beyond Known Objects: A Novel Framework for Open-Set Object Detection using Negative-Aware Norm
- IEEE Robotics and Automation Letters (RA-L)Beyond the Apex: Online Minimum-time Velocity Planning on Three-Dimensional Paths with Variable Friction
- IEEE International Conference on Intelligent Transportation Systems (ITSC)Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning
- IEEE International Conference on Intelligent Robots and Systems (IROS)Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
- IEEE International Conference on Intelligent Transportation Systems (ITSC)Control-Informed Constraint Adaptation in Minimum-Time Trajectory Planning for Autonomous Racing
- RA-LDifferentiable Weights-Varying Nonlinear MPC via Gradient-based Policy Learning: An Autonomous Vehicle Guidance Example
- IEEE International Conference on Intelligent Transportation Systems (ITSC)Disengagement Analysis and Field Tests of a Prototypical Open-Source Level 4 Autonomous Driving System
202522 papers
- IEEE International Conference on Intelligent Transportation Systems (ITSC)A Kalman Filter-Based Disturbance Observer for Steer-By-Wire Systems
- IEEE International Conference on Intelligent Transportation Systems (ITSC)A Learning-based Planning and Control Framework for Inertia Drift Vehicles
- IEEE Intelligent Vehicles Symposium (IV)A Quasi-Steady-State Black Box Simulation Approach for the Generation of G-G-G-V Diagrams
- IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS)A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks
- Robotics and Autonomous SystemsAdaptive learning-based model predictive control strategy for drift vehicles
- IEEE Intelligent Vehicles Symposium (IV)Bayesian Optimization-Based Tire Parameter and Uncertainty Estimation for Real-World Data
- IEEE International Conference on Intelligent Robots and Systems (IROS)Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps
- IEEE Conference on Decision and Control (CDC)Data-driven reachability analysis for piecewise affine systems
- IEEE International Conference on Intelligent Robots and Systems (IROS)DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving
- IEEE Intelligent Vehicles Symposium (IV)From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving
- IEEE International Conference on Intelligent Transportation Systems (ITSC)From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios
- IEEE Intelligent Vehicles Symposium (IV)GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
202422 papers
- RTCSAA Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
- IEEE Intelligent Vehicles Symposium (IV), JuneA new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness
- IEEE Intelligent Vehicles Symposium (IV), JuneA reinforcement learning-boosted motion planning framework: Comprehensive generalization performance in autonomous driving
- IEEE Intelligent Vehicles Symposium (IV), JuneA safe reinforcement learning driven weights-varying model predictive control for autonomous vehicle motion control
- IEEE American Control Conference (ACC)A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control
- IEEE Robotics & Automation MagazinA survey on small-scale testbeds for connected and automated vehicles and robot swarms
- IEEE Intelligent Vehicles Symposium (IV), JuneAccelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing-An Expert Interview Study
- IEEE International Conference on Intelligent Robots and Systems (IROS)Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
- IEEE Transactions on Transportation ElectrificationAuto-tuning Dynamics Parameters of Intelligent Electric Vehicles via Bayesian Optimization
- EuRADDoppler Beam Sharpening for 3D Object Detection
- IEEE Transactions on Instrumentation and MeasurementDP-VINS: Dynamics Adaptive Plane-Based Visual-Interatial SLAM
- RTASEnd-To-End Timing Analysis and Optimization of Multi-Executor ROS 2 Systems
202318 papers
- IEEE Intelligent Vehicles Symposim (IV), JuneA Benchmark Comparison of Imitation Learning-Based Control Policies for Autonomous Racing
- SAE International Journal of Connected and Automated VehiclesAn Analysis of Software Latency for a High-Speed Autonomous Race Car – A Case Study in the Indy Autonomous Challenge
- Technology in SocietyApplying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature
- ICARBypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor
- IEEE Sensors JournalCamRaDepth: Semantic Guided Depth Estimation Using Monocular Camera and Sparse Radar for Automotive Perception
- IEEE Intelligent Vehicles Symposim (IV), JuneDeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles
- IEEE International Conference on Computer, Control and Robotics (ICCCR), MarchEnd-to-End Optimization of Autonomous Vehicle Software Parameters
- IEEE International Conference on Intelligent Transportation Systems (ITSC), In PrintGround-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment
- IEEE Intelligent Vehicle Symposium (IV), JuneHow Fast is My Software? Latency Evaluation for a ROS2 Autonomous Driving Software
- IEEE Intelligent Vehicle Symposium (IV), JuneLatency Measurement for Autonomous Driving Software Using Data Flow Extraction
- IEEE AccessLearn to See Fast: Lessons Learned from Autonomous Racing on How to Develop Perception Systems
- IEEE Intelligent Vehicles Symposim (IV), JuneLearning and Adapting Behavior of Autonomous Vehicles Through Inverse Reinforcement Learning
Where alumni went37 listed
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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