Tag: autonomous driving
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C-TRAIL: Reliable Commonsense Trajectory Planning for AVs
C-TRAIL enhances autonomous driving by integrating commonsense reasoning with trust mechanisms for safer, reliable trajectory planning.
Robust Global-Local Fusion for Autonomous Driving with LiDAR Errors
Explore robust global-local command fusion for autonomous driving under LiDAR errors, enhancing safety and navigation with continuous control arbitration.
RoAD Benchmark: Testing LiDAR Model Robustness in Domain Shifts
Explore the RoAD benchmark evaluating LiDAR model failures under domain shifts and label evolution for robust autonomous driving perception.
Enhancing Autonomous Driving Safety with Vision-Language Models
Discover how vision-language models improve hazard detection and edge-case evaluation to boost autonomous driving safety and reliability.
ProbGuard: Proactive Safety Monitoring for LLM Agents
ProbGuard uses probabilistic risk prediction to proactively monitor and enhance safety for LLM agents in autonomous driving and household tasks.