Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison

Documenti analoghi

• HALO: Fault-Tolerant Safety Architecture For High-Speed Autonomous Racing
  di: Harder, Aron, et al.
  Pubblicazione: (2025)
• DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing
  di: Ning, Jingyun, et al.
  Pubblicazione: (2024)
• ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing
  di: Sukhil, Varundev, et al.
  Pubblicazione: (2024)
• CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening
  di: Kulkarni, Amar, et al.
  Pubblicazione: (2024)
• Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
  di: Chrosniak, John, et al.
  Pubblicazione: (2023)