A Solution to the Multiple Aspect Coverage Problem

摘要：

We introduce a novel task that arises in underwater search and inspection. In this task, an underwater vehicle must re-acquire and identify clusters of discrete objects. The challenge is to generate an efficient path for the vehicle given a probabilistic description of potential target locations. We propose an algorithm that generates an efficient path and show that the algorithm is superior to standard approaches.

作者: Matthew J. Bays Apoorva Shende Daniel J. Stilwell Signe A. Redfield

作者单位: Department of Mechanical Engineering,Virginia Tech,Blacksburg,VA 24060 Department of Electrical & Computer Engineering,Virginia Tech,Blacksburg,VA 24060 Naval Survace Warfare Center,Panama City Division,Panama City,FL

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

会议地点: 上海

会议语种:英文

页码: 1531-1537

在线出版日期: 2011-05-09（万方平台首次上网日期，不代表论文的发表时间）