Stereo vision based motion estimation for lunar rover navigation

Ping Yuan Cui*, Fu Zhan Yue, Hu Tao Cui

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages3847-3852
Number of pages6
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 International Conference on Machine Learning and Cybernetics - Dalian, China
Duration: 13 Aug 200616 Aug 2006

Publication series

NameProceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume2006

Conference

Conference2006 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityDalian
Period13/08/0616/08/06

Keywords

  • Lunar rover
  • Notion estimation
  • Stereo vision

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