A Tutorial for Monocular Visual Servoing

被引：0
|
作者：
Xu D. [1 ,2 ]
机构：
[1] Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing
[2] School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing
来源：
Xu, De (de.xu@ia.ac.cn) | 1729年 / Science Press卷 / 44期
基金：
中国国家自然科学基金;
关键词：
Control law design; Epipolar geometry; Feature selection; Homography matrix; Interaction matrix; Monocular vision; Visual servoing;
D O I：
10.16383/j.aas.2018.c170715
中图分类号：
学科分类号：
摘要：
Visual servoing is an important focus in the field of robot vision, which has a wide application area. This paper mainly discusses monocular visual servoing methods. It introduces different visual servoing methods and analyzes their characteristics from aspects such as motion mapping from features, errors representation, control law design, and key influence factors. Typical applications in different fields are given. Finally, the development tendency in future is predicted as well. Copyright © 2018 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：1729 / 1746
页数：17
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