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A robust rectification algorithm for the vision navigation system of the planetary rover
Wang, Huaichao; Jiang, Kai; Zhang, Xuequan; Li, Haifeng; Jin, Xin; Jin, Xin (jinxin@besti.edu.cn)
Department空间技术部
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
Volume10092Pages:97-108
ISSN0302-9743
Language英语
KeywordCalibration Navigation Navigation Systems Planetary Landers Stereo Image Processing Stereo Vision Vision
AbstractA robust rectification algorithm for vision navigation system of the planetary rover is presented to rectify the stereo images based on the traditional projective rectification algorithm. In this algorithm, the projective matrix is calculated by corresponding points and then optimized using the parameters calibrated on the earth. This algorithm can resolve the parameter changing problem in softlanding for planetary rover effectively. Experiments show that the results are almost same as the ones using calibrated rectification algorithm. © Springer-Verlag GmbH Germany 2017.
Indexed ByEI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5753
Collection空间技术部
Corresponding AuthorJin, Xin (jinxin@besti.edu.cn)
Recommended Citation
GB/T 7714
Wang, Huaichao,Jiang, Kai,Zhang, Xuequan,et al. A robust rectification algorithm for the vision navigation system of the planetary rover[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2017,10092:97-108.
APA Wang, Huaichao,Jiang, Kai,Zhang, Xuequan,Li, Haifeng,Jin, Xin,&Jin, Xin .(2017).A robust rectification algorithm for the vision navigation system of the planetary rover.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10092,97-108.
MLA Wang, Huaichao,et al."A robust rectification algorithm for the vision navigation system of the planetary rover".Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10092(2017):97-108.
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