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Robot positioning and navigation technology is based on Integration of the Global Navigation Satellite System and real-time kinematics

Junzuo Geng, Amir Ali Mokhtarzadeh, Hongyan Fei, Han Gao, Nan Ding, Rongshuang Kong, Jiayu Zhou

Year
2023
Citations
5
Access
Open access

Abstract

Abstract This paper provides a new robot positioning and navigation technique that combines GNSS-RTK and visual SLAM to address the shortcomings of existing single robot positioning and navigation techniques, such as limited adaptation to scenarios and susceptibility to environmental influences. Real-time kinematics (RTK) is a real-time dynamic observation technique based on carrier phase observations, which can provide real-time 3D positioning results of the measurement site in a specified coordinate system, and can be positioned with centimetre-level accuracy, which is suitable for It is suitable for outdoor positioning of mobile robots. In this paper, a dataset is studied to compare and analyse the advantages and disadvantages of different SLAMs in order to determine the most suitable robot positioning and navigation technique for autonomous indoor and outdoor mobility. These sensors were well calibrated and the composition was applied to the RK3588. The results show good performance in indoor-outdoor switching scenarios, obtaining a mapping technique that cannot be achieved with a single visual SLAM, effectively improving the ability to adapt to multiple scenarios and enhancing the operational range of the transportable robot.

Keywords

GNSS applicationsComputer scienceReal Time KinematicRobotMobile robotReal-time computingGlobal Positioning SystemKinematicsMobile robot navigationComputer vision

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