1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios
Yucheng Mao, Ruowen Zhao, Tianbao Zhang +1
Depth estimation is a cornerstone of perception in autonomous driving and robotic systems. The considerable cost and relatively sparse data acquisition of LiDAR systems have led to…
cs.CV2023
LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR
Pengfei Li, Ruowen Zhao, Yongliang Shi +4
Scene completion refers to obtaining dense scene representation from an incomplete perception of complex 3D scenes. This helps robots detect multi-scale obstacles and analyse objec…