Johannes Betz
収録論文 84本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Imagined Rollouts are Kinematic, Not Dynamic: A Diagnosis of Long-Horizon World-Model Failure2026/7/1
- Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators2026/7/1
- Risk-Aware Motion Planning with Learned Trajectory Primitives and Probabilistic Safety Assessment2026/7/1
- A2RL V\textsubscript{max}: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction2026/7/1
- Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving2026/7/1
- SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing2026/7/1
- A Hybrid Sampling-Based Trajectory Planner with Game-Theoretic Guidance for Autonomous Racing2026/7/1
- Drifting in the Future: Stabilizing Path Following Drifting on High-Latency Vehicle Systems2026/6/1
- G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance2026/6/1
- Automated Digital Twin Construction for Highway Scenarios Using LiDAR Point Clouds and OpenStreetMap2026/6/1
- Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing2026/5/1
- EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving2026/4/1
- StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving2026/3/1
- Disengagement Analysis and Field Tests of a Prototypical Open-Source Level 4 Autonomous Driving System2026/3/1
- Head-to-Head autonomous racing at the limits of handling in the A2RL challenge2026/2/1
- Modular Autonomy with Conversational Interaction: An LLM-driven Framework for Decision Making in Autonomous Driving2026/1/1
- Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware2026/1/1
- A Comparative Evaluation of Large Vision-Language Models for 2D Object Detection under SOTIF Conditions2026/1/1
- A Kalman Filter-Based Disturbance Observer for Steer-by-Wire Systems2025/12/1
- Unsupervised Learning for Detection of Rare Driving Scenarios2025/12/1
- Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response2025/12/1
- Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?2025/11/1
- Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning2025/10/1
- Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving2025/10/1
- RoGER-SLAM: A Robust Gaussian Splatting SLAM System for Noisy and Low-light Environment Resilience2025/10/1
- Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation2025/10/1
- Precise and Efficient Collision Prediction under Uncertainty in Autonomous Driving2025/10/1
- Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning2025/9/1
- MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks2025/7/1
- Informed Hybrid Zonotope-based Motion Planning Algorithm2025/7/1
- A Learning-based Planning and Control Framework for Inertia Drift Vehicles2025/7/1
- Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms2025/7/1
- Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars2025/7/1
- Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis2025/6/1
- Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example2025/6/1
- Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments2025/5/1
- MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation2025/5/1
- MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation2025/5/1
- Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data2025/4/1
- Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios2025/4/1
- A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams2025/4/1
- From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving2025/4/1
- GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing2025/4/1
- Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap2025/3/1
- From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios2025/2/1
- Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles2025/2/1
- Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits2025/2/1
- Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles2024/11/1
- DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving2024/9/1
- Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality2024/8/1
- A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms2024/8/1
- Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study2024/5/1
- FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap2024/4/1
- A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation2024/4/1
- A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness2024/4/1
- Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks2024/2/1
- FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving2024/2/1
- A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving2024/2/1
- Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety2024/2/1
- Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles2024/2/1
- Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames2024/2/1
- A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control2024/2/1
- Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control2023/11/1
- Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving2023/11/1
- R$^2$NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control2023/11/1
- A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control2023/10/1
- EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application2023/9/1
- RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps2022/12/1
- Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks2022/9/1
- Game-theoretic Objective Space Planning2022/9/1
- Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor2022/9/1
- A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing2022/9/1
- Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom2022/9/1
- Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack2022/6/1
- TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge2022/5/1
- Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing2022/2/1
- Gradient-free Multi-domain Optimization for Autonomous Systems2022/2/1
- Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits2022/2/1
- Stress Testing Autonomous Racing Overtake Maneuvers with RRT2021/10/1
- Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars2021/7/1
- Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling2020/12/1
- An Open-Source Scenario Architect for Autonomous Vehicles2020/6/1
- Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios2020/5/1
- Benchmarking of a software stack for autonomous racing against a professional human race driver2020/5/1