SINVI: smart indoor navigation for the visually impaired

Author

Ching, Lee Wee ; Leung, Maylor K H

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore

Volume

2

fYear

2004

fDate

6-9 Dec. 2004

Firstpage

1072

Abstract

Vision is an important sensory functionality of humans. Without which, navigation would be difficult and hazardous. In this paper, we outline the use of a novel approach to developing an automated guiding system for the blind. The approach is to use visual clues interpreted from images captured from a lightweight camera, mounted on a user. Visual clues are deciphered from the surrounding environment of the user. With just this information, the system would be able to guide the user through an indoor environment via audio cues. Majority of the visual clues would be gathered from the ceiling region. This is due to its low probability of being obscured, thereby increasing the chances of successful navigation.

Keywords

automatic guided vehicles; computer vision; handicapped aids; mobile robots; service robots; visual communication; automated guiding system; smart indoor navigation; visual clues; visually impaired; Cameras; Humans; Image analysis; Indoor environments; Information analysis; Intelligent robots; Layout; Radio navigation; Silicon compounds; Time of arrival estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th

Print_ISBN

0-7803-8653-1

Type

conf

DOI

10.1109/ICARCV.2004.1468992

Filename

1468992