Obstacle Detection Using Projective Invariant and Vanishing Lines

Abstract

This paper presents a novel method for detecting vehicles as obstacles in various road scenes using a single onboard camera. Vehicles are detected by testing whether the motion of a set of three horizontal line segments, which are always on the vehicles, satisfies the motion constraint of the ground plane or that of the surface plane of the vehicles. The motion constraint of each plane is derived from the projective invariant combined with the vanishing line of the plane that is a prior knowledge of road scenes. The proposed method is implemented into a newly developed onboard LSI. Experimental results for real road scenes under various conditions show the effectiveness of the proposed method. 1.

Cite

Text

Okada et al. "Obstacle Detection Using Projective Invariant and Vanishing Lines." IEEE/CVF International Conference on Computer Vision, 2003. doi:10.1109/ICCV.2003.1238363

Markdown

[Okada et al. "Obstacle Detection Using Projective Invariant and Vanishing Lines." IEEE/CVF International Conference on Computer Vision, 2003.](https://mlanthology.org/iccv/2003/okada2003iccv-obstacle/) doi:10.1109/ICCV.2003.1238363

BibTeX

@inproceedings{okada2003iccv-obstacle,
  title     = {{Obstacle Detection Using Projective Invariant and Vanishing Lines}},
  author    = {Okada, Ryuzo and Taniguchi, Yasuhiro and Furukawa, Kenji and Onoguchi, Kazunori},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2003},
  pages     = {330-337},
  doi       = {10.1109/ICCV.2003.1238363},
  url       = {https://mlanthology.org/iccv/2003/okada2003iccv-obstacle/}
}