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.

引用

页码：361 / 372

页数：11

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