A Survey of Optical Flow Techniques for Robotics Navigation Applications

被引：75
作者：
Chao, Haiyang [1 ]
Gu, Yu [2 ]
Napolitano, Marcello [2 ]
机构：
[1] Univ Kansas, Dept Aerosp Engn, Lawrence, KS 66045 USA
[2] W Virginia Univ, Dept Mech & Aerosp Engn, Morgantown, WV 26505 USA
来源：
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 2014年 / 73卷 / 1-4期
关键词：
Optical flow; Robotics navigation; Unmanned aerial vehicles; Robotics sensing; AERIAL VEHICLES; COMPUTATION; AVOIDANCE; AIRCRAFT; OBSTACLE; VELOCITY; MOTION; FLIGHT;
D O I：
10.1007/s10846-013-9923-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Optical flow has been widely used by insects and birds to support navigation functions. Such information has appealing capabilities for application to ground and aerial robots, especially for navigation and collision avoidance in urban or indoor areas. The purpose of this paper is to provide a survey of existing optical flow techniques for robotics navigation applications. Detailed comparisons are made among different optical-flow-aided navigation solutions with emphasis on the sensor hardware as well as optical flow motion models. A summary of current research status and future research directions are further discussed.
引用
收藏
页码：361 / 372
页数：12
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