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使用单目视觉的移动机器人导航方法

李庆 郑力新 潘书万 张裕坤 谢一首

计算机工程与应用2017,Vol.53Issue(4):223-227,5.
计算机工程与应用2017,Vol.53Issue(4):223-227,5.DOI:10.3778/j.issn.1002-8331.1607-0157

使用单目视觉的移动机器人导航方法

Method of mobile robot navigation using monocular vision

李庆 1郑力新 1潘书万 1张裕坤 1谢一首1

作者信息

  • 1. 华侨大学 工业智能化技术与系统福建省高校工程研究中心,福建 泉州 362021
  • 折叠

摘要

Abstract

The combine of machine vision and robotics is a major trend in the future development of the robotics industry. In the schemes of mobile robot obstacle avoidance, there are many problems with using traditional sensors, and the acquired information is limited. So a method of monocular vision-based mobile robot obstacle avoidance and navigation is proposed. And if the camera lens focal length is known, there is no need for camera calibration in the application. To reduce the impact of light on the edge detection of the obstacle, the color image is converted to the HSI space. Detecting the edge of converted components by using canny algorithm, and the test results are synthesized. Filtering synthetic results by thresholding, to remove weak edge information and improve the detection accuracy. Connecting the spurious edges by morphological pro-cessing, and non-obstacle area is obtained through regional growth. The mapping between the image coordinate system and the robot coordinate system is established according the geometric relationship. Finally, using fuzzy logic combined with membership functions to obtain robot control parameters. Experimental results show that the image color space con-version reduces the impact of the shadow and reflective of ground surface, the algorithm can effectively eliminate the interference of ground stripes and accurately detect the edge of the obstacle, and fuzzy logic decision method improves the robustness of the algorithm and the reliability of results.

关键词

单目视觉/移动机器人/导航/避障/区域生长/模糊逻辑

Key words

monocular vision/mobile robot/navigation/obstacle avoidance/regional growth/fuzzy logic

分类

信息技术与安全科学

引用本文复制引用

李庆,郑力新,潘书万,张裕坤,谢一首..使用单目视觉的移动机器人导航方法[J].计算机工程与应用,2017,53(4):223-227,5.

基金项目

福建省科技厅项目(No.2013H2002) (No.2013H2002)

华侨大学研究生科研创新能力培育计划资助项目(No.1400422004) (No.1400422004)

华侨大学科研基金(No.12BS226). (No.12BS226)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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