Advances in sensing and processing methods for three-dimensional robot vision

被引:19
|
作者
He, Yu [1 ]
Chen, Shengyong [1 ,2 ]
机构
[1] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China
[2] Tianjin Univ Technol, Sch Comp Sci & Engn, Tianjin, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
3D robot vision; SLAM; object representation; 3D sensors; sensing technique; TIME STEREO VISION; OBJECT RECOGNITION; MOBILE ROBOT; STRUCTURED LIGHT; KALMAN FILTER; 3D; RECONSTRUCTION; SYSTEM; NAVIGATION; SLAM;
D O I
10.1177/1729881418760623
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
In this article, we survey the recent developments of sensing methods in three-dimensional robot vision, centering on the current three-dimensional sensors and core techniques embedded in robotic systems. Over 8000 publications have reported rather wide application areas of three-dimensional robot vision in the last 40 years, such as human-robot interaction, object recognition, three-dimensional modeling, object tracking, searching and surveillance, as well as robot manipulation, localization, navigation, mapping, and path planning. Representative works and future research trends are also addressed in this article.
引用
收藏
页数:19
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