Road-Crossing Assistance by Traffic Flow Analysis
Abstract
We present a system to alert visually impaired pedestrians of vehicles approaching a road-crossing without traffic control. The system is computationally efficient, requires low-cost hardware, and can be mounted on existing street infrastructure, such as sign or lighting poles. The incoming video stream, showing the approaching traffic, is transformed to a one-dimensional signal, that is forwarded to a decision module. Preliminary experimental results indicate promising probability-of-detection and false alarm rates, while providing sufficiently early warning to the pedestrian. The planned target hardware is a solar-charged low cost Android device.
Cite
Text
Perry and Kiryati. "Road-Crossing Assistance by Traffic Flow Analysis." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-16199-0_26Markdown
[Perry and Kiryati. "Road-Crossing Assistance by Traffic Flow Analysis." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/perry2014eccv-road/) doi:10.1007/978-3-319-16199-0_26BibTeX
@inproceedings{perry2014eccv-road,
title = {{Road-Crossing Assistance by Traffic Flow Analysis}},
author = {Perry, Adi and Kiryati, Nahum},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {361-374},
doi = {10.1007/978-3-319-16199-0_26},
url = {https://mlanthology.org/eccv/2014/perry2014eccv-road/}
}