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A local path planning algorithm under the variable planning size
Wan, Teng; Li, Ce; Zhang, Yachao
2017-02-13
会议日期October 15, 2016 - October 17, 2016
会议地点Datong, China
关键词Biomedical engineering Graph theory Image processing Mobile robots Navigation Robot programming Autonomous navigation Complex environments Local path-planning Localization and navigation Path planning method Path-planning algorithm Real time path planning Surrounding environment
DOI10.1109/CISP-BMEI.2016.7852815
页码781-785
英文摘要The research in the field of the localization and navigation of mobile robot is becoming more and more significant. Among them, the local real-time path planning for robot autonomous navigation in complex environment is particularly important. However, the current local path planning algorithms are all planning the local path in the same plan-scope. Sometimes, this situation leads to a waste of time and computing resources. Therefore, in this article, a new path planning method called the variable planning size (VPS) for robot in static workspace is presented. In this paper, the graph theory is the basic algorithm of path planning. In addition, the mobile robot using this algorithm could autonomous to decide the planning scope according to the complexity of the surrounding environment. Therefore, in a complex environment, the robot is more efficient to find a local optimal path. As a result, the VPS path planning algorithm can plan out of the local optimal path preferably. © 2016 IEEE.
会议录Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/117217]  
专题兰州理工大学
作者单位College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
推荐引用方式
GB/T 7714
Wan, Teng,Li, Ce,Zhang, Yachao. A local path planning algorithm under the variable planning size[C]. 见:. Datong, China. October 15, 2016 - October 17, 2016.
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