3 papers
cs.AI2026
Synesthesia of Vehicles: Tactile Data Synthesis from Visual Inputs
Rui Wang, Yaoguang Cao, Yuyi Chen +4
Autonomous vehicles (AVs) rely on multi-modal fusion for safety, but current visual and optical sensors fail to detect road-induced excitations which are critical for vehicles' dyn…
cs.AI2025
FocalAD: Local Motion Planning for End-to-End Autonomous Driving
Bin Sun, Boao Zhang, Jiayi Lu +8
In end-to-end autonomous driving,the motion prediction plays a pivotal role in ego-vehicle planning. However, existing methods often rely on globally aggregated motion features, ig…
cs.AI2025
A Multi-modal Fusion Network for Terrain Perception Based on Illumination Aware
Rui Wang, Shichun Yang, Yuyi Chen +6
Road terrains play a crucial role in ensuring the driving safety of autonomous vehicles (AVs). However, existing sensors of AVs, including cameras and Lidars, are susceptible to va…