Constructing visibility graph and planning optimal path for inspection of 2D workspace

Bo Gao, Demin Xu, Fubin Zhang, Yao Yao
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引用次数: 21

Abstract

In this paper, we address the solution of solving the following problem: given a known workspace and a robot with limited sensors compute a short path for the vehicle so that every space in the workspace could be detected by the limited sensor of mobile robot on at least one point of the path. Visibility constraints including range of distance and angle of incidence are taken into consideration to model the real sensors with the view of 360 degrees. Instead of setting a number of guard location points for robot to travel, we here propose a concept called the visibility hallway which is constructed from the valid range of sensor. Our problem could be solved by two steps: we first construct the visibility graph according to the visibility hallway and then the path planner compute the short path from visibility graph with some specifications. Experiment results demonstrate that the proposed method could compute the path efficiently and the workspace could be inspected everywhere.
构建二维工作空间检测可见性图并规划最优路径
在本文中,我们解决了以下问题的解决方案:给定已知的工作空间和具有有限传感器的机器人,计算车辆的短路径,使工作空间中的每个空间至少在路径的一个点上可以被移动机器人的有限传感器检测到。考虑了距离范围和入射角等能见度约束,以360度视角对真实传感器进行建模。在此,我们提出了一种基于传感器有效范围构建可见性走廊的概念,而不是为机器人设置多个警戒位置点。该问题可分为两步来解决:首先根据可见性走廊构造可见性图,然后路径规划器根据一定的规范从可见性图中计算出短路径。实验结果表明,该方法可以有效地计算路径,并且可以随时检查工作空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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