Title :
Indoor navigation system based on omni-directional corridorguidelines
Author :
Liu, Ji-gang ; Shi, Da-ming ; Leung, Maylor Karhang
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
Finding way in indoor environments may pose a challenge to people who have some sort of visual loss. This paper describes straight corridor positioning and junction detection algorithms for use in indoor navigation system which is designed for the visually impaired. Also, a model that extracts the edges from the image captured by omni-camera is proposed and the system can direct the visually impaired according to the edge information so that they can move in correct direction and in the middle of the corridor. The proposed navigation system was carried out using omni-camera which can capture images of 360deg view. It has many advantages compared with the conventional camera. Our experiment results show that it works well in corridor environment.
Keywords :
computer vision; edge detection; feature extraction; handicapped aids; corridor positioning; edge extraction; indoor navigation system; junction detection algorithm; omnidirectional corridor guideline; visually impaired person; Algorithm design and analysis; Cybernetics; Data mining; Global Positioning System; Guidelines; Image edge detection; Indoor environments; Machine learning; Navigation; Robots; Junction detection; Navigation; Omni-camera; Pathway following;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620600