DocumentCode :
3310310
Title :
Vehicle yaw, pitch, roll and 3D lane shape recovery by vision
Author :
Coulombeau, Pierre ; Laurgeau, Claude
Author_Institution :
Intempora S.A, Issy-les-Moulineaux, France
Volume :
2
fYear :
2002
fDate :
17-21 June 2002
Firstpage :
619
Abstract :
We present here a set of new road models that allow both 3D lane shape and all extrinsic camera parameters recovery. The assumption that some parts of the road such as markings or the road itself have a constant width leads to very efficient geometric models. These models are used to estimate camera and road parameters : according to available extracted features, we can choose to recover part or the whole parameters.
Keywords :
automotive electronics; computer vision; feature extraction; parameter estimation; 3D lane shape recovery; extrinsic camera parameter recovery; feature extraction; vehicle pitch; vehicle roll; vehicle yaw; vision; Cameras; Filtering; Goniometers; Image reconstruction; Noise shaping; Polynomials; Road vehicles; Shape measurement; Solid modeling; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicle Symposium, 2002. IEEE
Print_ISBN :
0-7803-7346-4
Type :
conf
DOI :
10.1109/IVS.2002.1188020
Filename :
1188020
Link To Document :
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