Qwen released Qwen-Drive-1.0-4B, a 4-billion-parameter vision-language model built on Qwen3.5-4B that fuses perception and planning into a single model with a bird's-eye-view perception head and two p…
Researchers introduced WCog-VLA, a dual-level World-Cognitive Vision-Language-Action model that enables autonomous vehicles to transition from reactive to proactive navigation by integrating world cog…
Researchers propose FlowR2A, a generative model that unifies scoring-based and anchor-based driving planning by learning reward-conditioned action distributions from dense trajectory-reward pairs. The…
Researchers have released StandardE2E, a unified open-source framework that standardizes preprocessing and data loading across six major autonomous driving datasets, including Waymo and Argoverse. The…