The Visual Extraction of the Autonomous Lawnmower Navigation Route

摘要：

This paper uses the more intuitive visual processing of the camera to extract navigation information instead of using the low-end information collection technology of the photoelectric sensor as the current autonomous lawnmower navigation sensor. Image grey processing, binary algorithm, the image smooth method, the image inflation, the improved Hough transform combining with VC++ are used to get the line in order to distinguish the done and undone lawn successfully and to obtain navigation path and navigation parameters. The improved grayscale algorithm and the Hough transform algorithm have reduced the amount of image data processing, solved the small angle lines problem, and improved the real-time of the robots. Meanwhile prove the impossibility of image sharpening and border detection on extracting lawn boundary. The feasibility of the lawn image processing has been proved by examples.

关键词： The Autonomous Lawnmower Image processing Hough transform Robot navigation

作者: Fu Li-si Xing Yong-you

作者单位: Information and Electrical Engineering InstituteShenyang Agricultural University,ShenyangShenyang 11 Information and Electrical Engineering Institute Shenyang Agricultural University,Shenyang Shenyang

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 375-379

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）