CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

Documenti analoghi

• HALO: Fault-Tolerant Safety Architecture For High-Speed Autonomous Racing
  di: Harder, Aron, et al.
  Pubblicazione: (2025)
• DBF-MA: A Differential Bayesian Filtering Planner for Multi-Agent Autonomous Racing Overtakes
  di: Weiss, Trent, et al.
  Pubblicazione: (2025)
• Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
  di: Liu, Haolan, et al.
  Pubblicazione: (2023)
• Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison
  di: Harder, Aron, et al.
  Pubblicazione: (2025)
• Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
  di: Chrosniak, John, et al.
  Pubblicazione: (2023)