Paper
6 August 2009 Autonomous navigation algorithm for precision landing based on computer vision
Yang Tian, PingYuan Cui, HuTao Cui
Author Affiliations +
Abstract
In this paper we propose a visual algorithm for use by a deep space exploration spacecraft to estimate the relative position and attitude on broad during the descent phase. This algorithm is composed of the relative motion recovery which provides part motion states estimates based on tracking feature through the monocular image sequence, and landmark recognition based algorithm which offers the scale of the relative motion and absolute position of spacecraft. The results on synthetic image show that the proposed algorithm can provide the estimation of state with satisfactory accuracy.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Tian, PingYuan Cui, and HuTao Cui "Autonomous navigation algorithm for precision landing based on computer vision", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73841H (6 August 2009); https://doi.org/10.1117/12.835559
Lens.org Logo
CITATIONS
Cited by 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Space operations

Detection and tracking algorithms

Cameras

Error analysis

Motion estimation

Motion models

Process modeling

Back to Top