DocumentCode
3462002
Title
A cooperative approach to vision-based vehicle detection
Author
Bensrhair, A. ; Bertozzi, M. ; Broggi, A. ; Miché, P. ; Mousset, S. ; Toulminet, G.
Author_Institution
INSA, Univ. de Rouen, France
fYear
2001
fDate
2001
Firstpage
207
Lastpage
212
Abstract
In this paper two different vision based systems for vehicle detection are described and their integration discussed. The first approach is based on the use of a specific model for vehicles and mostly relies on monocular vision. Conversely, the second system is based on the use of stereo vision and allows to refine the coarse results obtained by the former. A preliminary integration of the two systems has been tested on the ARGO experimental vehicle and some remarks about reliability and robustness are also included
Keywords
mobile robots; reliability; road vehicles; robot vision; stability; stereo image processing; traffic engineering computing; ARGO experimental; cooperative approach; monocular vision; reliability; robustness; stereo vision; vision-based vehicle detection; Cameras; Image analysis; Layout; Machine vision; Optical noise; Stereo vision; System testing; Vehicle detection; Vehicle driving; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location
Oakland, CA
Print_ISBN
0-7803-7194-1
Type
conf
DOI
10.1109/ITSC.2001.948657
Filename
948657
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