A Survey of Optical Flow Techniques for Robotics Navigation Applications

被引:9
作者
Haiyang Chao
Yu Gu
Marcello Napolitano
机构
[1] University of Kansas,Department of Aerospace Engineering
[2] West Virginia University,Department of Mechanical & Aerospace Engineering
来源
Journal of Intelligent & Robotic Systems | 2014年 / 73卷
关键词
Optical flow; Robotics navigation; Unmanned aerial vehicles; Robotics sensing;
D O I
暂无
中图分类号
学科分类号
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.
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页码:361 / 372
页数:11
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