Open AccessAn Analysis of Vision Based Soft Landing
Author(s) -
Beiran Hou
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2228/1/012049
Subject(s) - soft landing , scale invariant feature transform , computer vision , process (computing) , artificial intelligence , computer science , matching (statistics) , feature (linguistics) , point (geometry) , image (mathematics) , mathematics , linguistics , statistics , philosophy , geometry , economics , macroeconomics , operating system
The soft landing based on visual analysis is of great significance to planetary exploration, and there is also a good development prospect in the future. This paper introduces the process of soft landing technology and the working process of the landing camera. Taking Chang’e-3 as the main example, using methods such as descent image processing and SIFT feature matching, it explains the algorithm of Chang’e-3 to complete high-precision positioning and the process of autonomous hazard avoidance during landing. Also the accuracy of the positioning point is analyzed, which shows the effectiveness of the positioning method.