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Localization Method Based on Multi-QR Codes for Mobile Robots

Zhijun Zheng, Yongxing Yu, Rongjun Chen, Hongxing Huang, Huimin Zhao, Xu Lu

Year
2022
Citations
6

Abstract

With the development of the Internet of Things technology, as an important source of information perception, QR codes are widely used in various fields. In the visual localization of mobile robots based on QR codes, there are intermittent problems in the visual localization of mobile robots based on individual QR code identification, and the accuracy and reliability of positioning need to be improved. Based on multi-QR codes, a localization scheme for mobile robots is designed, which determines the direction and actual position of the mobile robot by the location of multi-QR codes detected and the encoding information identified, and achieves higher precision and more reliable localization. Besides, through the construction of the experimental scene for localization testing, the high precision localization of the proposed multi-QR codes localization algorithm is verified, which can be used to estimate the position of the mobile robot effectively. It provides more accurate localization information for autonomous navigation.

Keywords

Computer scienceMobile robotRobotComputer visionCode (set theory)Position (finance)Reliability (semiconductor)Encoding (memory)Artificial intelligenceMobile robot navigation

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