Methods of Visual Navigation in the Task of Moon Landing
Year: 2019
Type: conference-paper
Abstract: This paper describes development of image registration method based on Generalized Hough Transform for the task of visual navigation on automatic moon landing. A hybrid algorithm is described which allows to compare observed image with a vector map in a form of crater parameters list without additional feature detection. Performance of algorithm is estimated. Measures to increase algorithm stability to noise and camera orientation changing are described.
Source: Procedia Computer Science
Authors: A.V. Bobkov, Xu Yang
Institution: Bauman Moscow State Technical University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2936836838