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
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;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948657
