Research of Coverage Evaluation of Cleaning Robots based on visual perception

Xuesong Zheng, Jiafu Ou, Tao Chen, Qiang Zhang, Liangyi Yang, Junfu Huang, H. Zhao
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引用次数: 1

Abstract

At present, the cleaning robot presents an intelligent situation, which can realize map building, path planning, self-charging and so on. Taking the coverage rate of intelligent cleaning robot as the research object, real-time image is used to test and analyze the target.In this method, the collected real-time image is transformed into segmented gray scale. The target is identified by template matching, and the motion path is measured by sub-pixel edge location. Thus the coverage of the cleaning robot can be calculated. Experiments show the effectiveness of the proposed method.
基于视觉感知的清洁机器人覆盖评估研究
目前,清扫机器人呈现出智能态势,可以实现地图绘制、路径规划、自充电等功能。以智能保洁机器人的覆盖率为研究对象,采用实时图像对目标进行测试分析。该方法将采集到的实时图像进行灰度分割。通过模板匹配识别目标,通过亚像素边缘定位测量运动路径。从而可以计算出清扫机器人的覆盖范围。实验证明了该方法的有效性。
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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