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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yujian Feng Jianhua Zhang Qinhu Ren Zhen Xie Sheng Liu Shengyong Chen |
| Copyright Year | 2015 |
| Description | Author affiliation: Zhejiang Univ. of Technol., Hangzhou, China (Yujian Feng; Jianhua Zhang; Qinhu Ren; Zhen Xie; Sheng Liu; Shengyong Chen) |
| Abstract | The visual navigation on the lunar surface is a natural way to alleviate the accumulated error raised by the inertial navigation device. However, it is difficult to find distinctive landmarks for effective visual navigation due to the similar and textureless terrains on the lunar surface. In this paper, a novel algorithm is proposed to solve such a problem. Firstly, the local invariant features extract. Next, an improved density cluster technology employed is to initial landmark patches. Finally, we choose the most distinctive and robust patch by optimizing an objective function. For meeting the real time requirement, we also design an effective strategy to reduce the number of local invariant features. The proposed method evaluates in the lunar surface map with 50 meters accuracy. The experimental results exhibit satisfactory performance in terms of matching accuracy. |
| Starting Page | 1365 |
| Ending Page | 1370 |
| File Size | 1923196 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781467391047 |
| DOI | 10.1109/ICInfA.2015.7279499 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis density-based cluster Visualization Navigation Moon Clustering algorithms Linear programming the lunar surface Time complexity image matching objective function |
| Content Type | Text |
| Resource Type | Article |
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