Monocular Obstacle Avoidance for Blind People Using Probabilistic Focus of Expansion Estimation
Abstract
Visually impaired people have a much higher chance of head injuries in daily life because of obstacles that cannot be reliably detected using conventional aids. We present part of a solution to this problem, using only one head mounted camera and optical flow techniques. As part of the system, a novel method to estimate the focus of expansion is presented, which also provides a metric for the quality of the estimate. The final result is a real time capable software system, which can detect obstacles at eye level.
Cite
Text
Stabinger et al. "Monocular Obstacle Avoidance for Blind People Using Probabilistic Focus of Expansion Estimation." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016. doi:10.1109/WACV.2016.7477608Markdown
[Stabinger et al. "Monocular Obstacle Avoidance for Blind People Using Probabilistic Focus of Expansion Estimation." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016.](https://mlanthology.org/wacv/2016/stabinger2016wacv-monocular/) doi:10.1109/WACV.2016.7477608BibTeX
@inproceedings{stabinger2016wacv-monocular,
title = {{Monocular Obstacle Avoidance for Blind People Using Probabilistic Focus of Expansion Estimation}},
author = {Stabinger, Sebastian and Rodríguez-Sánchez, Antonio Jose and Piater, Justus H.},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2016},
pages = {1-9},
doi = {10.1109/WACV.2016.7477608},
url = {https://mlanthology.org/wacv/2016/stabinger2016wacv-monocular/}
}