A holistic framework for acquisition, processing and evaluation of vehicle fleet test data. - Michael Wittmann; Jürgen Lohrer; Johannes Betz; Benedikt Jäger; Maria Kugler; Manfred Klöppel; Adam Waclaw; Moritz Hann; Markus Lienkamp (ITSC, 2017)

Analysis of the charging infrastructure for battery electric vehicles in commercial companies. - Johannes Betz; Leonhard Walther; Markus Lienkamp (Intelligent Vehicles Symposium, 2017)

Evaluation of the Potential of Integrating Battery Electric Vehicles into Commercial Companies on the Basis of Fleet Test Data. - Johannes Betz; Moritz Hann; Benedikt Jäger; Markus Lienkamp (VTC Spring, 2017)

IMU-based Assessment of Ankle Inversion Kinematics and Orthosis Migration. - Johannes Betz; Christoph Klingspor; Thomas Seel (EMBC, 2019)

A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars. - Alexander Heilmeier; Maximilian Geisslinger; Johannes Betz (EVER, 2019)

Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies. - Adam Waclaw; Johannes Betz; Markus Lienkamp (EVER, 2019)

A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling. - Johannes Betz; Alexander Wischnewski; Alexander Heilmeier; Felix Nobis; Leonhard Hermansdorfer; Tim Stahl; Thomas Herrmann; Markus Lienkamp (ICCVE, 2019)

A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar. - Alexander Wischnewski; Johannes Betz; Boris Lohmann (ICCVE, 2019)

Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments. - Felix Nobis; Johannes Betz; Leonhard Hermansdorfer; Markus Lienkamp (ICVARS, 2019)

A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar. - Leonhard Hermansdorfer; Johannes Betz; Markus Lienkamp (ITSC, 2019)

Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control. - Thomas Herrmann; Fabian Christ; Johannes Betz; Markus Lienkamp (ITSC, 2019)

Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios. - Tim Stahl; Alexander Wischnewski; Johannes Betz; Markus Lienkamp (ITSC, 2019)

Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich. - Konstantin Riedl; Sebastian Kurscheid; Andreas Noll; Johannes Betz; Markus Lienkamp (IV, 2019)

A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. - Felix Nobis; Maximilian Geisslinger; Markus Weber; Johannes Betz; Markus Lienkamp (SDF, 2019)

A Software Architecture for an Autonomous Racecar. - Johannes Betz; Alexander Wischnewski; Alexander Heilmeier; Felix Nobis; Tim Stahl; Leonhard Hermansdorfer; Markus Lienkamp (VTC Spring, 2019)

SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines. - Pablo R. Palafox; Johannes Betz; Felix Nobis; Konstantin Riedl; Markus Lienkamp (Sensors, 2019)

Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing. - Alexander Wischnewski; Johannes Betz; Boris Lohmann (CDC, 2020)

Benchmarking of a software stack for autonomous racing against a professional human race driver. - Leonhard Hermansdorfer; Johannes Betz; Markus Lienkamp (EVER, 2020)

Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension. - Felix Nobis; Odysseas Papanikolaou; Johannes Betz; Markus Lienkamp (EVER, 2020)

Importance of Contextual Information for the Detection of Road Damages. - Konstantin Riedl; Sebastian Huber; Maximilian Bömer; Julian Kreibich; Felix Nobis; Johannes Betz (EVER, 2020)

An Open-Source Scenario Architect for Autonomous Vehicles. - Tim Stahl; Johannes Betz (EVER, 2020)

Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar. - Thomas Herrmann; Francesco Passigato; Johannes Betz; Markus Lienkamp (ITSC, 2020)

Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data. - Felix Nobis; Fabian Brunhuber; Simon Janssen; Johannes Betz; Markus Lienkamp (ITSC, 2020)

Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module. - Tim Stahl; Matthis Eicher; Johannes Betz; Frank Diermeyer (ITSC, 2020)

Techno-Economic Analysis of State-of-the-Art Charging Infrastructure Concepts for Typical Commercial Battery Electric Vehicle Fleets. - Adam Waclaw; Felix Gotzler; Johannes Betz; Markus Lienkamp (ITSC, 2020)

Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension. - Felix Nobis; Odysseas Papanikolaou; Johannes Betz; Markus Lienkamp (CoRR, 2020)

End-to-End Neural Network for Vehicle Dynamics Modeling. - Leonhard Hermansdorfer; Rainer Trauth; Johannes Betz; Markus Lienkamp (CIST, 2021)

Unified Mobility Estimation Model. - David Ziegler; Johannes Betz; Markus Lienkamp (ITSC, 2021)

Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. - Maximilian Geisslinger; Phillip Karle; Johannes Betz; Markus Lienkamp (SMC, 2021)

Radar Voxel Fusion for 3D Object Detection. - Felix Nobis; Ehsan Shafiei; Phillip Karle; Johannes Betz; Markus Lienkamp (CoRR, 2021)

Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. - Jayanth Bhargav; Johannes Betz; Hongrui Zheng; Rahul Mangharam (CoRR, 2021)

Multi-Task End-to-End Self-Driving Architecture for CAV Platoons. - Sebastian Huch; Aybike Ongel; Johannes Betz; Markus Lienkamp (Sensors, 2021)

Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling. - Thomas Herrmann; Alexander Wischnewski; Leonhard Hermansdorfer; Johannes Betz; Markus Lienkamp (IEEE Trans. Intell. Veh., 2021)

Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles. - Jayanth Bhargav; Johannes Betz; Hongrui Zheng; Rahul Mangharam (COMSNETS, 2022)

Stress Testing Autonomous Racing Overtake Maneuvers with RRT. - Stanley Bak; Johannes Betz; Abhinav Chawla; Hongrui Zheng; Rahul Mangharam (IV, 2022)

Wheel Speed Is All You Need: How to Efficiently Detect Automotive Damper Defects Using Frequency Analysis. - Sebastian Huber; Johannes Betz; Markus Lienkamp (IV, 2022)

Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack. - Zirui Zang; Renukanandan Tumu; Johannes Betz; Hongrui Zheng; Rahul Mangharam (IV, 2022)

Unified Mobility Estimation Mode. - David Ziegler; Johannes Betz; Markus Lienkamp (CoRR, 2022)

Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. - Alexander Wischnewski; Maximilian Geisslinger; Johannes Betz; Tobias Betz; Felix Fent; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Felix Nobis; Levent Ögretmen; et al. (CoRR, 2022)

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. - Johannes Betz; Hongrui Zheng; Alexander Liniger; Ugo Rosolia; Phillip Karle; Madhur Behl; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

Gradient-free Multi-domain Optimization for Autonomous Systems. - Hongrui Zheng; Johannes Betz; Rahul Mangharam (CoRR, 2022)

Game-theoretic Objective Space Planning. - Hongrui Zheng; Zhijun Zhuang; Johannes Betz; Rahul Mangharam (CoRR, 2022)

Accelerating Online Reinforcement Learning via Supervisory Safety Systems. - Benjamin David Evans; Johannes Betz; Hongrui Zheng; Herman A. Engelbrecht; Rahul Mangharam; Hendrik W. Jordaan (CoRR, 2022)

Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom. - Johannes Betz; Hongrui Zheng; Zirui Zang; Florian Sauerbeck; Krzysztof Walas; Velin Dimitrov; Madhur Behl; Rosa Zheng; Joydeep Biswas; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps. - Florian Sauerbeck; Benjamin Obermeier; Martin Rudolph; Johannes Betz (CoRR, 2022)

Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison. - Phillip Karle; Maximilian Geisslinger; Johannes Betz; Markus Lienkamp (IEEE Trans. Intell. Transp. Syst., 2022)

Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor. - Benjamin David Evans; Johannes Betz; Hongrui Zheng; Herman A. Engelbrecht; Rahul Mangharam; Hendrik W. Jordaan (ICAR, 2023)

Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. - Zirui Zang; Hongrui Zheng; Johannes Betz; Rahul Mangharam (ICRA, 2023)

Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. - Florian Sauerbeck; Dominik Kulmer; Markus Pielmeier; Maximilian Leitenstern; Christoph Weiß; Johannes Betz (SENSORS, 2023)

Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment. - Huilin Yin; Mina Sun; Linchuan Zhang; Jun Yan 009; Johannes Betz (ITSC, 2023)

Latency Measurement for Autonomous Driving Software Using Data Flow Extraction. - Tobias Betz; Maximilian Schmeller; Andreas Korb; Johannes Betz (IV, 2023)

How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software. - Tobias Betz; Maximilian Schmeller; Harun Teper; Johannes Betz (IV, 2023)

DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. - Sebastian Huch; Florian Sauerbeck; Johannes Betz (IV, 2023)

A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. - Xiatao Sun; Mingyan Zhou; Zhijun Zhuang; Shuo Yang 007; Johannes Betz; Rahul Mangharam (IV, 2023)

Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. - Rainer Trauth; Marc Kaufeld; Maximilian Geisslinger; Johannes Betz (IV, 2023)

Timing-Aware ROS 2 Architecture and System Optimization. - Harun Teper; Tobias Betz; Georg von der Brüggen; Kuan-Hsun Chen; Johannes Betz; Jian-Jia Chen (RTCSA, 2023)

Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. - Florian Sauerbeck; Sebastian Huch; Felix Fent; Phillip Karle; Dominik Kulmer; Johannes Betz (IEEE Access, 2023)

Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform. - Zhijie Qiao; Helen Loeb; Venkata Gurrla; Matt Lebermann; Johannes Betz; Rahul Mangharam (CoRR, 2023)

EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. - Phillip Karle; Tobias Betz; Marcin Bosk; Felix Fent; Nils Gehrke; Maximilian Geisslinger; Luis Gressenbuch; Philipp Hafemann; Sebastian Huber; Maximilian Hübner; Sebastian Huch; Gemb Kaljavesi; et al. (CoRR, 2023)

R2NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control. - Baha Zarrouki; João Nunes; Johannes Betz (CoRR, 2023)

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. - Johannes Betz; Tobias Betz; Felix Fent; Maximilian Geisslinger; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Markus Lienkamp; Boris Lohmann; Felix Nobis; et al. (J. Field Robotics, 2023)

A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control. - Baha Zarrouki; Chenyang Wang; Johannes Betz (ACC, 2024)

ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios. - Dingrui Wang; Zheyuan Lai; Yuda Li; Yi Wu; Yuexin Ma; Johannes Betz; Ruigang Yang; Wei Li 111 (ICRA, 2024)

Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality. - Sven Goblirsch; Marcel Weinmann; Johannes Betz (IROS, 2024)

Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control. - Baha Zarrouki; Chenyang Wang; Johannes Betz (IROS, 2024)

Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames. - Matthias Rowold; Alexander Langmann; Boris Lohmann; Johannes Betz (ITSC, 2024)

Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. - Marc Kaufeld; Rainer Trauth; Johannes Betz (IV, 2024)

FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. - Maximilian Leitenstern; Florian Sauerbeck; Dominik Kulmer; Johannes Betz (IV, 2024)

Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. - Korbinian Möller; Rainer Trauth; Johannes Betz (IV, 2024)

A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. - Rainer Trauth; Alexander Hobmeier; Johannes Betz (IV, 2024)

Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study. - Frederik Werner; René Oberhuber; Johannes Betz (IV, 2024)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. - Baha Zarrouki; Marios Spanakakis; Johannes Betz (IV, 2024)

End-To-End Timing Analysis and Optimization of Multi-Executor ROS 2 Systems. - Harun Teper; Tobias Betz; Mario Günzel; Dominic Ebner; Georg von der Brüggen; Johannes Betz; Jian-Jia Chen (RTAS, 2024)

A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. - Tobias Betz; Long Wen 003; Fengjunjie Pan; Gemb Kaljavesi; Alexander Zuepke; Andrea Bastoni; Marco Caccamo; Alois Knoll; Johannes Betz (RTCSA, 2024)

FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving. - Rainer Trauth; Korbinian Moeller; Gerald Würsching; Johannes Betz (IEEE Access, 2024)

Frenetix Motion Planner: High-Performance and Modular Trajectory Planning Algorithm for Complex Autonomous Driving Scenarios. - Korbinian Möller; Rainer Trauth; Gerald Würsching; Johannes Betz (CoRR, 2024)

A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness. - Johannes Betz; Melina Lutwitzi; Steven Peters (CoRR, 2024)

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. - 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; et al. (CoRR, 2024)

DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving. - Dingrui Wang; Marc Kaufeld; Johannes Betz (CoRR, 2024)

Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles. - Niklas Kochdumper; Youran Wang; Johannes Betz; Matthias Althoff (CoRR, 2024)

Editorial: Special Issue on Opportunities and Challenges with Autonomous Racing. - Johannes Betz; Venkat Krovi; Rahul Mangharam; Madhur Behl (Field Robotics, 2024)

DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles. - Linchuan Zhang; Huilin Yin; Wei Ye 001; Johannes Betz (IEEE Trans. Instrum. Meas., 2024)

Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops. - Linchuan Zhang; Wei Ye 001; Jun Yan 009; Hao Zhang 008; Johannes Betz; Huilin Yin (IEEE Trans. Veh. Technol., 2024)

Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits. - Mattia Piccinini; Sebastiano Taddei; Johannes Betz; Francesco Biral (ICRA, 2025)

Adaptive learning-based model predictive control strategy for drift vehicles. - Bei Zhou 005; Cheng Hu; Jun Zeng 002; Zhouheng Li; Johannes Betz; Lei Xie 007; Hongye Su (Robotics Auton. Syst., 2025)

Risk-Aware Driving Scenario Analysis with Large Language Models. - Yuan Gao; Mattia Piccinini; Johannes Betz (CoRR, 2025)

Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap. - Jianye Xu; Bassam Alrifaee; Johannes Betz; Armin Mokhtarian; Archak Mittal; Mengchi Cai; Rahul Mangharam; Omar M. Shehata; Catherine M. Elias; Jan-Nico Zaech; Patrick Scheffe; Felix Jahncke; et al. (CoRR, 2025)

From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving. - Korbinian Möller; Luis Schwarzmeier; Johannes Betz (CoRR, 2025)

Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios. - Korbinian Möller; Truls Nyberg; Jana Tumova; Johannes Betz (CoRR, 2025)

Data-Driven Reachability Analysis for Piecewise Affine System. - Peng Xie; Johannes Betz; Davide M. Raimondo; Amr Alanwar 001 (CoRR, 2025)

A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams. - Frederik Werner; Simon Sagmeister; Mattia Piccinini; Johannes Betz (CoRR, 2025)

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing. - Frederik Werner; Ann-Kathrin Schwehn; Markus Lienkamp; Johannes Betz (CoRR, 2025)

Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data. - Sven Goblirsch; Benedikt Ruhland; Johannes Betz; Markus Lienkamp (CoRR, 2025)

Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments. - Alexander Langmann; Levent Ögretmen; Frederik Werner; Johannes Betz (CoRR, 2025)

MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation. - Marc Kaufeld; Korbinian Möller; Alessio Gambi; Paolo Arcaini; Johannes Betz (CoRR, 2025)

MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation. - Felix Jahncke; Johannes Betz (CoRR, 2025)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis. - Yuan Gao; Mattia Piccinini; Yuchen Zhang; Dingrui Wang; Korbinian Möller; Roberto Brusnicki; Baha Zarrouki; Alessio Gambi; Jan Frederik Totz; Kai Storms; Steven Peters; Andrea Stocco 001; et al. (CoRR, 2025)

Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. - Bei Zhou 005; Baha Zarrouki; Mattia Piccinini; Cheng Hu; Lei Xie 007; Johannes Betz (CoRR, 2025)

Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps. - Khanh Son Pham; Christian Witte; Jens Behley; Johannes Betz; Cyrill Stachniss (CoRR, 2025)

A Learning-based Planning and Control Framework for Inertia Drift Vehicles. - Bei Zhou 005; Zhouheng Li; Lei Xie 007; Hongye Su; Johannes Betz (CoRR, 2025)

Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms. - Korbinian Möller; Rafael Neher; Marvin Seegert; Johannes Betz (CoRR, 2025)

Informed Hybrid Zonotope-based Motion Planning Algorithm. - Peng Xie; Johannes Betz; Amr Al-Anwar 001 (CoRR, 2025)

MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks. - Marc Kaufeld; Mattia Piccinini; Johannes Betz (CoRR, 2025)

GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians. - Tomislav Pavkovic; Mohammad-Ali Nikouei Mahani; Johannes Niedermayer; Johannes Betz (CoRR, 2025)

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars. - Mattia Piccinini; Aniello Mungiello; Georg Jank; Gastone Pietro Rosati Papini; Francesco Biral; Johannes Betz (CoRR, 2025)

Enhancing Physical Consistency in Lightweight World Models. - Dingrui Wang; Zhexiao Sun; Zhouheng Li; Cheng Wang 003; Youlun Peng; Hongyuan Ye; Baha Zarrouki; Wei Li 111; Mattia Piccinini; Lei Xie 007; Johannes Betz (CoRR, 2025)

Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning. - Korbinian Möller; Roland Stroop; Mattia Piccinini; Alexander Langmann; Johannes Betz (CoRR, 2025)

NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving. - Yuan Gao; Mattia Piccinini; Roberto Brusnicki; Yuchen Zhang; Johannes Betz (CoRR, 2025)

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: A Guide for Creating a New Testbed [Survey]. - 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; et al. (IEEE Robotics Autom. Mag., 2025)

Precise and Efficient Collision Prediction under Uncertainty in Autonomous Driving. - Marc Kaufeld; Johannes Betz (CoRR, 2025)

TARO: Toward Semantically Rich Open-World Object Detection. - Yuchen Zhang; Yao Lu; Johannes Betz (CoRR, 2025)

Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving. - Alexander Langmann; Yevhenii Tokarev; Mattia Piccinini; Korbinian Möller; Johannes Betz (CoRR, 2025)

Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation. - Anran Zhang; Hanzhi Chen; Yannick Burkhardt; Yao Zhong; Johannes Betz; Helen Oleynikova; Stefan Leutenegger (CoRR, 2025)

SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection. - Roberto Brusnicki; David Pop; Yuan Gao; Mattia Piccinini; Johannes Betz (CoRR, 2025)

RoGER-SLAM: A Robust Gaussian Splatting SLAM System for Noisy and Low-light Environment Resilience. - Huilin Yin; Zhaolin Yang; Linchuan Zhang; Gerhard Rigoll; Johannes Betz (CoRR, 2025)

F1TENTH: Enhancing Autonomous Systems Education Through Hands-On Learning and Competition. - Johannes Betz; Hongrui Zheng; Felix Jahncke; Zirui Zang; Florian Sauerbeck; Yahong Rosa Zheng; Joydeep Biswas; Venkat Krovi; Rahul Mangharam (IEEE Trans. Intell. Veh., 2025)