Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware
Fuente:
arXiv
Guardado en:
| Autores principales: | Moller, Korbinian, Tungka, Glenn Johannes, Jürgens, Lucas, Betz, Johannes |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms
por: Moller, Korbinian, et al.
Publicado: (2025)
por: Moller, Korbinian, et al.
Publicado: (2025)
FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving
por: Trauth, Rainer, et al.
Publicado: (2024)
por: Trauth, Rainer, et al.
Publicado: (2024)
Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios
por: Moller, Korbinian, et al.
Publicado: (2025)
por: Moller, Korbinian, et al.
Publicado: (2025)
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety
por: Moller, Korbinian, et al.
Publicado: (2024)
por: Moller, Korbinian, et al.
Publicado: (2024)
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
por: Langmann, Alexander, et al.
Publicado: (2025)
por: Langmann, Alexander, et al.
Publicado: (2025)
Modular Autonomy with Conversational Interaction: An LLM-driven Framework for Decision Making in Autonomous Driving
por: Seegert, Marvin, et al.
Publicado: (2026)
por: Seegert, Marvin, et al.
Publicado: (2026)
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving
por: Moller, Korbinian, et al.
Publicado: (2025)
por: Moller, Korbinian, et al.
Publicado: (2025)
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
por: Moller, Korbinian, et al.
Publicado: (2025)
por: Moller, Korbinian, et al.
Publicado: (2025)
Disengagement Analysis and Field Tests of a Prototypical Open-Source Level 4 Autonomous Driving System
por: Seegert, Marvin, et al.
Publicado: (2026)
por: Seegert, Marvin, et al.
Publicado: (2026)
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving
por: Trauth, Rainer, et al.
Publicado: (2024)
por: Trauth, Rainer, et al.
Publicado: (2024)
MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation
por: Kaufeld, Marc, et al.
Publicado: (2025)
por: Kaufeld, Marc, et al.
Publicado: (2025)
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
por: Gao, Yuan, et al.
Publicado: (2026)
por: Gao, Yuan, et al.
Publicado: (2026)
Informed Hybrid Zonotope-based Motion Planning Algorithm
por: Xie, Peng, et al.
Publicado: (2025)
por: Xie, Peng, et al.
Publicado: (2025)
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving
por: Wang, Dingrui, et al.
Publicado: (2024)
por: Wang, Dingrui, et al.
Publicado: (2024)
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios
por: Gao, Yuan, et al.
Publicado: (2025)
por: Gao, Yuan, et al.
Publicado: (2025)
Precise and Efficient Collision Prediction under Uncertainty in Autonomous Driving
por: Kaufeld, Marc, et al.
Publicado: (2025)
por: Kaufeld, Marc, et al.
Publicado: (2025)
Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles
por: Kochdumper, Niklas, et al.
Publicado: (2024)
por: Kochdumper, Niklas, et al.
Publicado: (2024)
Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach
por: Testouri, Mehdi, et al.
Publicado: (2023)
por: Testouri, Mehdi, et al.
Publicado: (2023)
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
por: Zarrouki, Baha, et al.
Publicado: (2024)
por: Zarrouki, Baha, et al.
Publicado: (2024)
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles
por: Kaufeld, Marc, et al.
Publicado: (2024)
por: Kaufeld, Marc, et al.
Publicado: (2024)
Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments
por: Langmann, Alexander, et al.
Publicado: (2025)
por: Langmann, Alexander, et al.
Publicado: (2025)
Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example
por: Zhou, Bei, et al.
Publicado: (2025)
por: Zhou, Bei, et al.
Publicado: (2025)
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation
por: Jahncke, Felix, et al.
Publicado: (2025)
por: Jahncke, Felix, et al.
Publicado: (2025)
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
por: Werner, Frederik, et al.
Publicado: (2025)
por: Werner, Frederik, et al.
Publicado: (2025)
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
por: Gao, Yuan, et al.
Publicado: (2025)
por: Gao, Yuan, et al.
Publicado: (2025)
V*: An Efficient Motion Planning Algorithm for Autonomous Vehicles
por: Andaryan, Abdullah Zareh, et al.
Publicado: (2025)
por: Andaryan, Abdullah Zareh, et al.
Publicado: (2025)
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits
por: Piccinini, Mattia, et al.
Publicado: (2025)
por: Piccinini, Mattia, et al.
Publicado: (2025)
MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks
por: Kaufeld, Marc, et al.
Publicado: (2025)
por: Kaufeld, Marc, et al.
Publicado: (2025)
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study
por: Werner, Frederik, et al.
Publicado: (2024)
por: Werner, Frederik, et al.
Publicado: (2024)
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
por: Betz, Tobias, et al.
Publicado: (2024)
por: Betz, Tobias, et al.
Publicado: (2024)
Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving
por: Fischer, Johannes, et al.
Publicado: (2025)
por: Fischer, Johannes, et al.
Publicado: (2025)
A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness
por: Betz, Johannes, et al.
Publicado: (2024)
por: Betz, Johannes, et al.
Publicado: (2024)
Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning
por: Trivedi, Ananya, et al.
Publicado: (2026)
por: Trivedi, Ananya, et al.
Publicado: (2026)
Unsupervised Learning for Detection of Rare Driving Scenarios
por: Le, Dat, et al.
Publicado: (2025)
por: Le, Dat, et al.
Publicado: (2025)
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
por: Liang, Jinhao, et al.
Publicado: (2024)
por: Liang, Jinhao, et al.
Publicado: (2024)
EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
por: Schäfer, Finn Rasmus, et al.
Publicado: (2026)
por: Schäfer, Finn Rasmus, et al.
Publicado: (2026)
Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response
por: Distelzweig, Aron, et al.
Publicado: (2025)
por: Distelzweig, Aron, et al.
Publicado: (2025)
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data
por: Goblirsch, Sven, et al.
Publicado: (2025)
por: Goblirsch, Sven, et al.
Publicado: (2025)
Real-Time Sampling-Based Safe Motion Planning for Robotic Manipulators in Dynamic Environments
por: Covic, Nermin, et al.
Publicado: (2024)
por: Covic, Nermin, et al.
Publicado: (2024)
A Learning-based Planning and Control Framework for Inertia Drift Vehicles
por: Zhou, Bei, et al.
Publicado: (2025)
por: Zhou, Bei, et al.
Publicado: (2025)
Ejemplares similares
-
Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms
por: Moller, Korbinian, et al.
Publicado: (2025) -
FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving
por: Trauth, Rainer, et al.
Publicado: (2024) -
Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios
por: Moller, Korbinian, et al.
Publicado: (2025) -
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety
por: Moller, Korbinian, et al.
Publicado: (2024) -
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
por: Langmann, Alexander, et al.
Publicado: (2025)