DocumentCode
2620480
Title
Fusion of Artificial Vision and GPS to Improve Blind Pedestrian Positioning
Author
Brilhault, Adrien ; Kammoun, Slim ; Gutierrez, Olivier ; Truillet, Philippe ; Jouffrais, Christophe
Author_Institution
IRIT, Univ. de Toulouse 3, Toulouse, France
fYear
2011
fDate
7-10 Feb. 2011
Firstpage
1
Lastpage
5
Abstract
Orientation and mobility are tremendous problems for Blind people. Assistive technologies based on Global Positioning System (GPS) could provide them with a remarkable autonomy. Unfortunately, GPS accuracy, Geographical Information System (GIS) data and map-matching techniques are adapted to vehicle navigation only, and fail in assisting pedestrian navigation, especially for the Blind. In this paper, we designed an assistive device for the Blind based on adapted GIS, and fusion of GPS and vision based positioning. The proposed assistive device may improve user positioning, even in urban environment where GPS signals are degraded. The estimated position would then be compatible with assisted navigation for the Blind. Interestingly the vision module may also answer Blind needs by providing them with situational awareness (localizing objects of interest) along the path. Note that the solution proposed for positioning could also enhance autonomous robots or vehicles localization.
Keywords
Global Positioning System; computer vision; geographic information systems; handicapped aids; sensor fusion; GPS; artificial vision fusion; blind pedestrian positioning; geographical information system; global positioning system; map-matching techniques; Cameras; Geographic Information Systems; Global Positioning System; Legged locomotion; Pixel; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
New Technologies, Mobility and Security (NTMS), 2011 4th IFIP International Conference on
Conference_Location
Paris
ISSN
2157-4952
Print_ISBN
978-1-4244-8705-9
Electronic_ISBN
2157-4952
Type
conf
DOI
10.1109/NTMS.2011.5721061
Filename
5721061
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