Journal of Shanghai Jiaotong University››2012,Vol. 46››Issue (09): 1371-1375.

• Automation Technique, Computer Technology •Previous ArticlesNext Articles

Unmanned Surface Vehicle Local Path Planning Based on Marine Radar

ZHUANG Jia-Yuan, SU Yu-Min, LIAO Yu-Lei, SUN Han-Bing

  1. (National Key Laboratory of Science and Technology on Autonomous Underwater Vehicle, Harbin Engineering University, Harbin 150001, China)
  • Received:2011-11-04Online:2012-09-28Published:2012-09-28

Abstract:To solve the local path planning problem of unmanned surface vehicle (USV), this paper designed a path planning method based on marine radar image processing. An image’s edge preserving smoothing algorithm and an adaptive threshold election algorithm were used for marine radar image processing, then a mathematic model for the environment was founded, and the path was searched by a search of shortcut Dijkstra algorithm. Good results were received from experimental data in the sea and lake,with an optimal path identified in a short time that could satisfy the experimental need.

Key words:unmanned surface vehicle (USV),marine radar,image processing,Dijkstra algorithm,local path planning

Baidu
map