Spacecraft depth completion based on the gray image and the sparse depth map. (arXiv:2208.14030v1 [cs.CV])

Perceiving the three-dimensional (3D) structure of the spacecraft is a
prerequisite for successfully executing many on-orbit space missions, and it
can provide critical input for many downstream vision algorithms. In this
paper, we propose to sense the 3D structure of spacecraft using light detection
and ranging sensor (LIDAR) and a monocular camera. To this end, Spacecraft
Depth Completion Network (SDCNet) is proposed to recover the dense depth map
based on gray image and sparse depth map. Specifically, SDCNet decomposes the …

arxiv image map spacecraft