Tag: autonomous driving
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MVAdapt: Zero-Shot Multi-Vehicle Adaptation for Autonomous Driving
Discover MVAdapt, a zero-shot multi-vehicle adaptation framework that enhances end-to-end autonomous driving by conditioning on vehicle physics.
AI Modeling & Simulation for Mixed Automated Traffic
Explore AI methods for simulating mixed automated and human traffic, enhancing autonomous vehicle testing and traffic behavior modeling.
MAVEN-T: Advanced Multi-Agent Neural Trajectory Predictor
Discover MAVEN-T, a multi-agent neural trajectory predictor using reinforcement learning for real-time autonomous driving with high accuracy and efficiency...
Neural Distribution Prior for Enhanced LiDAR OOD Detection
Improve LiDAR out-of-distribution detection with Neural Distribution Prior, boosting autonomous driving safety by addressing class imbalance and prediction...
VLA-World: Advanced Vision-Language Models for Autonomous Driving
Discover VLA-World, a cutting-edge vision-language-action model enhancing safety and prediction in autonomous driving with temporal and global consistency.