Tag: autonomous driving
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MORPH-U: Resilient V2X Motion Planning for Autonomous Cars
Discover MORPH-U, a resilient multi-objective motion planning system enhancing V2X-enabled autonomous driving safety in uncertain environments.
Real-Time Adversarial Testing of Autonomous Driving Systems
Explore a new framework for real-time evaluation of autonomous driving systems under adversarial attacks using real-world data and advanced learning models...
TRIP-Evaluate: Benchmark for Multimodal AI in Transportation
Discover TRIP-Evaluate, an open multimodal benchmark designed to assess large AI models in transportation for safer, smarter traffic and vehicle management...
Adversarial Flow Matching: Imperceptible Attacks on Autonomous Driving
Discover Adversarial Flow Matching, a novel gray-box attack method that imperceptibly compromises end-to-end autonomous driving models with high efficiency...
RetroMotion: Advanced Retrocausal Motion Forecasting Model
Discover RetroMotion, a retrocausal transformer model enhancing multi-agent motion forecasting accuracy and adaptability in AI applications.