A robust rectification algorithm for the vision navigation system of the planetary rover
文献类型：期刊论文
| 作者 | Wang, Huaichao; Jiang, Kai; Zhang, Xuequan; Li, Haifeng; Jin, Xin |
| 刊名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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| 出版日期 | 2017 |
| 卷号 | 10092页码:97-108 |
| 关键词 | Calibration Navigation Navigation systems Planetary landers Stereo image processing Stereo vision Vision |
| ISSN号 | 0302-9743 |
| 通讯作者 | Jin, Xin (jinxin@besti.edu.cn) |
| 英文摘要 | A 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/5753]  |
| 专题 | 国家空间科学中心_空间技术部 |
| 推荐引用方式 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.(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. |
入库方式： OAI收割
来源：国家空间科学中心
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