English

Detecting Road Obstacles by Erasing Them

Computer Vision and Pattern Recognition 2023-10-10 v3

Abstract

Vehicles can encounter a myriad of obstacles on the road, and it is impossible to record them all beforehand to train a detector. Instead, we select image patches and inpaint them with the surrounding road texture, which tends to remove obstacles from those patches. We then use a network trained to recognize discrepancies between the original patch and the inpainted one, which signals an erased obstacle.

Keywords

Cite

@article{arxiv.2012.13633,
  title  = {Detecting Road Obstacles by Erasing Them},
  author = {Krzysztof Lis and Sina Honari and Pascal Fua and Mathieu Salzmann},
  journal= {arXiv preprint arXiv:2012.13633},
  year   = {2023}
}
R2 v1 2026-06-23T21:25:26.361Z