Particle filter-based relative rolling estimation algorithm for non-cooperative infrared spacecraft

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Particle filter-based relative rolling estimation algorithm for non-cooperative infrared spacecraft

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作者：Zhengzhou Li ; ^{lizhengzhou@cqu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Fengzeng Ge ; Wenhao Chen ; Wanxing Shao ; Bing Liu ; Bei Cheng
关键词：Non-cooperative rolling target ; Relative pose estimation ; Bayesian probability ; Particle filter ; Least square estimate ; Rotation estimation
刊名：Infrared Physics & Technology
出版年：2016
出版时间：September 2016
年：2016
卷：78
期：Complete
页码：58-65
全文大小：926 K

文摘

•: Geometric structure and motion pattern are uncertain.
•: The uncertainties are assumed as random and time-varying variables.
•: Particle filter matches feature point in a region to overcome the uncertainties.
•: The rotation is estimated by solving a minimum error of feature point matching.

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