3 papers
cs.CV2026
TRIG: Trajectory-Rig Decoupled Metric Geometry Learning
Lizhou Liao, Wentao Xu, Handong Wang +4
Vision-centric autonomous driving requires accurate metric geometry and ego-motion estimation from synchronized multi-camera observations. Recent visual geometry models show strong…
cs.CV2025
Decoupling Bidirectional Geometric Representations of 4D cost volume with 2D convolution
Xiaobao Wei, Changyong Shu, Zhaokun Yue +8
High-performance real-time stereo matching methods invariably rely on 3D regularization of the cost volume, which is unfriendly to mobile devices. And 2D regularization based metho…
cs.RO2025
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
Tao Wang, Cong Zhang, Xingguang Qu +3
End-to-end autonomous driving (E2E-AD) has rapidly emerged as a promising approach toward achieving full autonomy. However, existing E2E-AD systems typically adopt a traditional mu…