2 papers
cs.RO2026
Geo-VLA: Geometry-Aware Vision-Language-Action Planning via Internalization of Map Semantics
Ran Chen, Jiaxing Ren, Zhikun Zhang +3
Vision-language-action (VLA) models have advanced end-to-end autonomous driving by leveraging foundation models for semantic reasoning and long-tail generalization. However, their…
cs.CV2025
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
Yunhao Hou, Bochao Zou, Min Zhang +7
By sharing information across multiple agents, collaborative perception helps autonomous vehicles mitigate occlusions and improve overall perception accuracy. While most previous w…