@article{oai:kyutech.repo.nii.ac.jp:00007705,
 author = {Tan, Joo kooi and タン, ジュークイ and Kitagawa, Kohei},
 issue = {1},
 journal = {Journal of Robotics, Networking and Artificial Life},
 month = {Jun},
 note = {This paper describes a method of navigating a visually impaired person who walks on a sidewalk and goes through a pedestrian crossing by the use of an ego-camera system named MY VISION. The proposed method finds a walkable region on the sidewalk. Thus, at a pedestrian crossing, it finds a traffic light and judges an appropriate timing to cross the road by analyzing the color and flashing status of the signal. The walkable region is found employing Graph- Based Segmentation (GBS), and once a pedestrian crossing is reached through the use of a GPS signal, a traffic light is detected by use of the HOG feature and Random Forest. The effectiveness of the proposed method was verified by experiments. This implies usefulness of a MY VISION system},
 pages = {25--30},
 title = {A Method of Navigating a Visually Impaired Person Using MY VISION},
 volume = {9},
 year = {2022}
}