@inproceedings{63ad2419741c4bebaee5d9eb17648fcf,
title = "Stereo vision based motion estimation for lunar rover navigation",
abstract = "Accurate navigation autonomously on uneven terrain is a very important technique for lunar rover to execute long-range exploration on lunar surface. This paper presents a stereo vision based algorithm for lunar rover autonomous navigation that can enable for precision localization. Our techniques mainly consist of image processing and motion estimation. To improve the performance of motion estimation, robust linear motion estimation is executed to reject the outliers of image processing and estimate the motion initially, then, Levenberg-Marquardt nonlinear estimation is executed to estimate the motion precisely. The result of our autonomous navigation algorithm is an estimation of attitude and position, which can be passed directly to path planning and motion control system.",
keywords = "Lunar rover, Notion estimation, Stereo vision",
author = "Cui, {Ping Yuan} and Yue, {Fu Zhan} and Cui, {Hu Tao}",
year = "2006",
doi = "10.1109/ICMLC.2006.258696",
language = "English",
isbn = "1424400619",
series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",
pages = "3847--3852",
booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",
note = "2006 International Conference on Machine Learning and Cybernetics ; Conference date: 13-08-2006 Through 16-08-2006",
}