The use of computer vision for landing operations on the mars and martian rover navigation is very important for scientific space missions. In this paper we implement an iterative visual navigation algorithm based on Gauss-Newton method for estimating position based on the image captured by only one camera. We find the pose that minimize the squared error of the predicted location of the image features to the measured location. For computing the error of pose estimation, synthetic images were generated. Considered a two-dimensional object (square) containing a set of distinct points (at least four points). The algorithm error is calculated for many relative distances between the camera and the object and three noise levels. Several images of the body are generated and taken from different elevation and azimuth angles, the position of the camera in relation to the body is estimated by applying the algorithm, then compared with the real position, to calculate the error.


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    Title :

    Optimized camera pose estimation using iterative algorithm based on visual marker



    Conference:

    XLV ACADEMIC SPACE CONFERENCE, DEDICATED TO THE MEMORY OF ACADEMICIAN S.P. KOROLEV AND OTHER OUTSTANDING NATIONAL SCIENTISTS — PIONEERS OF SPACE EXPLORATION ; 2021 ; Moscow, Russia


    Published in:

    Publication date :

    2023-07-20


    Size :

    7 pages





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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