English

Depth Sensing Beyond LiDAR Range

Computer Vision and Pattern Recognition 2020-04-08 v1

Abstract

Depth sensing is a critical component of autonomous driving technologies, but today's LiDAR- or stereo camera-based solutions have limited range. We seek to increase the maximum range of self-driving vehicles' depth perception modules for the sake of better safety. To that end, we propose a novel three-camera system that utilizes small field of view cameras. Our system, along with our novel algorithm for computing metric depth, does not require full pre-calibration and can output dense depth maps with practically acceptable accuracy for scenes and objects at long distances not well covered by most commercial LiDARs.

Keywords

Cite

@article{arxiv.2004.03048,
  title  = {Depth Sensing Beyond LiDAR Range},
  author = {Kai Zhang and Jiaxin Xie and Noah Snavely and Qifeng Chen},
  journal= {arXiv preprint arXiv:2004.03048},
  year   = {2020}
}

Comments

Accepted to CVPR 2020

R2 v1 2026-06-23T14:42:00.731Z