@article{oai:kyutech.repo.nii.ac.jp:00007006,
 author = {Kitagawa, Kohei and Ishikawa, Seiji and 石川, 聖二 and Tan, Joo kooi and タン, ジュークイ},
 journal = {Proceedings of International Conference on Artificial Life & Robotics (ICAROB2021)},
 month = {Jan},
 note = {In this paper, we propose a system for a visually impaired person to cross a pedestrian crossing safely by the employment of the state of a traffic light and the remaining distance to the other side obtained from the analysis of MY VISION images. The traffic light at a pedestrian crossing is detected by a discriminator using HOG (Histograms of Oriented Gradients) features and Random Forest. The effectiveness of the proposed method was verified by experiments., The 2021 International Conference on Artificial Life and Robotics (ICAROB 2021), January 21-24, 2021, Higashi-Hiroshima (オンライン開催に変更)},
 pages = {283--286},
 title = {Development of a Pedestrian Crossing Navigation System for a Visually Impaired Person Using MY VISION},
 year = {2021},
 yomi = {イシカワ, セイジ}
}