3 papers
cs.RO2026
Defer to Plan: Adaptive Multi-Agent Fusion for End-to-End V2X Driving
Nuoran Li, Zhang Zhang, Yueran Zhao +2
Vehicle-to-everything-aided autonomous driving (V2X-AD) significantly enhances driving performance through information sharing. However, existing collaborative perception methods o…
cs.CV2025
HeatV2X: Scalable Heterogeneous Collaborative Perception via Efficient Alignment and Interaction
Yueran Zhao, Zhang Zhang, Chao Sun +3
Vehicle-to-Everything (V2X) collaborative perception extends sensing beyond single vehicle limits through transmission. However, as more agents participate, existing frameworks fac…
cs.CV2025
RoadFormer : Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving
Tianze Wang, Zhang Zhang, Chao Sun
The classification of the type of road surface (RSC) aims to utilize pavement features to identify the roughness, wet and dry conditions, and material information of the road surfa…