most citedBEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

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…