A Unified Perspective on the Future of Autonomous Driving
Scoring is All You Need for End-to-End Autonomous Driving β a sparse, factorized scoring framework.
Unified Multi-Paradigm Driving with Vision-Language-Action Models in a single decoder.
Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving.
Closed-Loop Value Estimation & Ranking for End-to-End Driving Planning
Ego-Scene Interactive Modeling for Autonomous Driving via Flow Matching
Temporal Residual World Model for End-to-End Autonomous Driving
Video JEPA Meets Multimodal Trajectory Distillation for E2E Driving
Unifying Understanding, Perception, and Action Planning for AD
Unified Chain of PerceptionβPredictionβPlanning Thought via RFT
Bridging Occupancy and Vision-Language Models via Sparse Queries
Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning
Interleaved World Modeling and Planning for Autonomous Driving
Geometry-Grounded WorldβAction Model for Unified Generation and Planning
Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving
Bridging Large Vision-Language Models and End-to-End Autonomous Driving