DocumentCode :
2220665
Title :
3D vehicle sensor based on monocular vision
Author :
Ponsa, Daniel ; López, Antonio ; Lumbreras, Felipe ; Serrat, Joan ; Graf, Thorsten
Author_Institution :
Dept. d´´Informatica, Univ. Autonoma de Barcelona, Spain
fYear :
2005
fDate :
13-15 Sept. 2005
Firstpage :
1096
Lastpage :
1101
Abstract :
Determining the position of other vehicles on the road is a key information to help driver assistance systems to increase driver´s safety. Accordingly, the work presented in this paper addresses the problem of detecting the vehicles in front of our own one and estimating their 3D position by using a single monochrome camera. Rather than using predefined high level image features as symmetry, shadow search, etc., our proposal for the vehicle detection is based on a learning process that determines, from a training set, which are the best features to distinguish vehicles from non-vehicles. To compute 3D information with a single camera a key point consists of knowing the position where the horizon projects onto the image. However, this position can change in every frame and is difficult to determine. In this paper we study the coupling between the perceived horizon and the actual width of vehicles in order to reduce the uncertainty in their estimated 3D position derived from an unknown horizon.
Keywords :
computer vision; driver information systems; image sensors; road vehicles; 3D vehicle sensor; driver assistance systems; learning process; monocular vision; single monochrome camera; symmetry; training set; Cameras; Computer vision; Laser radar; Proposals; Radar detection; Road safety; Road vehicles; Vehicle detection; Vehicle driving; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-9215-9
Type :
conf
DOI :
10.1109/ITSC.2005.1520204
Filename :
1520204
Link To Document :
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