Research of Coverage Evaluation of Cleaning Robots based on visual perception

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 collecte...

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Bibliographic Details
Published in2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) pp. 548 - 552
Main Authors Zheng, Xuesong, Ou, Jiafu, Chen, Tao, Zhang, Qiang, Yang, Liangyi, Huang, Junfu, Zhao, Hongquan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2020
Subjects
cleaning robot
component
coverage rate
gray transform
subpixel
template matching
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Summary: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.
DOI:10.1109/CACRE50138.2020.9230318