Demo: Assisting Visually Impaired People Navigate Indoors
Abstract
Research in Artificial Intelligence, Robotics and Computer Vision has recently made great strides in improving indoor localization. Publicly available technology now allows for indoor localization with very small margins of error. In this demo, we show a system that uses state-of the-art technology to as- sist visually impaired people navigate indoors. Our system takes advantage of spatial representations from CAD files, or floor plan images, to extract valuable information that later can be used to im- prove navigation and human-computer interaction. Using depth information, our system is capable of detecting obstacles and guiding the user to avoid them. PDF
Cite
Text
Munoz et al. "Demo: Assisting Visually Impaired People Navigate Indoors." International Joint Conference on Artificial Intelligence, 2016.Markdown
[Munoz et al. "Demo: Assisting Visually Impaired People Navigate Indoors." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/munoz2016ijcai-demo/)BibTeX
@inproceedings{munoz2016ijcai-demo,
title = {{Demo: Assisting Visually Impaired People Navigate Indoors}},
author = {Munoz, J. Pablo and Li, Bing and Rong, Xuejian and Xiao, Jizhong and Tian, Yingli and Arditi, Aries},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2016},
pages = {4260-4261},
url = {https://mlanthology.org/ijcai/2016/munoz2016ijcai-demo/}
}