DocumentCode :
162297
Title :
Calibration of stereo vision system used on autonomous surface vehicle
Author :
Jianhua Wang ; Xiaoyan Pei ; Mengkai Zhao ; Aidi Shen
Author_Institution :
Marine Technol. & Control Eng. Key Lab., Shanghai Maritime Univ., Shanghai, China
fYear :
2014
fDate :
7-10 April 2014
Firstpage :
1
Lastpage :
4
Abstract :
Due to the special working environment, some problems should be taken into account for calibration of vision system used on autonomous surface vehicle (ASV). This paper discussed the relation between calibration parameters obtained from different distances. After a brief introduction to the imaging model of camera and the classical calibration methods, the relation between the distance from calibration rig to camera and calibration parameters is explored. By the least square algorithm, a functional relation is fitted. Based on equivalent transformation, a method to obtain the relatively accurate calibration parameters is proposed. Experiments show that the accuracy of calibration parameters is improved.
Keywords :
image sensors; least squares approximations; stereo image processing; ASV; autonomous surface vehicle; calibration parameters; camera; functional relation; imaging model; least square algorithm; stereo vision system calibration; Accuracy; Calibration; Cameras; Image reconstruction; Machine vision; Sea surface; Vehicles; ASV; camera calibration; functional relation; infinite homography matrix; influence factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2014 - TAIPEI
Conference_Location :
Taipei
Print_ISBN :
978-1-4799-3645-8
Type :
conf
DOI :
10.1109/OCEANS-TAIPEI.2014.6964527
Filename :
6964527
Link To Document :
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