Research papers on cooperative autonomous driving, 3D vision, and scene understanding.
dCAP: a vision-based framework that continuously estimates the 6-DoF relative pose between tractor and trailer cameras, plus the STT4AT benchmark for articulated trucks.
A generic benchmark for cooperative autonomous driving supporting multi-vehicle, multi-modal, and multi-task evaluation.
A lightweight and adaptive reference-point-based fusion approach for cooperative autonomous driving.
Investigating the use of crowdsourced neural radiance fields (NeRF) as maps for autonomous vehicles.
A global multi-temporal satellite dataset with an STGAN baseline for cloud and cloud shadow removal.
Edge-detection-based process monitoring and end-point identification for unattended liquid phase separation.