Affine Trackability Aids Obstacle Detection

Sawhney, Harpreet S.; Hanson, Allen R.

doi:10.1109/CVPR.1992.223156

Affine Trackability Aids Obstacle Detection

Harpreet S. Sawhney, Allen R. Hanson

CVPR 1992 pp. 418-424

doi:10.1109/CVPR.1992.223156 /cvpr/1992/sawhney1992cvpr-affine/

Abstract

Potential obstacles in the path of a mobile robot that can often be characterized as shallow (i.e., their extent in depth is small compared to their distance from the camera) are considered. The constraint of affine trackability is applied to automatic identification and 3-D reconstruction of shallow structures in realistic scenes. It is shown how this approach can handle independent object motion, occlusion, and motion discontinuity. Although the reconstructed structure is only a frontal plane approximation to the corresponding real structure, the robustness of depth of the approximation might be useful for obstacle avoidance, where the exact shape of an object may not be of consequence so long as collisions with it can be avoided.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Sawhney and Hanson. "Affine Trackability Aids Obstacle Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223156

Markdown

[Sawhney and Hanson. "Affine Trackability Aids Obstacle Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/sawhney1992cvpr-affine/) doi:10.1109/CVPR.1992.223156

BibTeX

@inproceedings{sawhney1992cvpr-affine,
  title     = {{Affine Trackability Aids Obstacle Detection}},
  author    = {Sawhney, Harpreet S. and Hanson, Allen R.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {418-424},
  doi       = {10.1109/CVPR.1992.223156},
  url       = {https://mlanthology.org/cvpr/1992/sawhney1992cvpr-affine/}
}