Internet of Things and Cloud Computing
Volume 5, Issue 3, June 2017, Pages: 52-58
Received: Aug. 1, 2017;
Published: Aug. 2, 2017
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Yang Li, School of Computer Science and Technology, Soochow University, Suzhou, China
Qijin Ji, School of Computer Science and Technology, Soochow University, Suzhou, China
Yanqin Zhu, School of Computer Science and Technology, Soochow University, Suzhou, China
In order to meet the requirement of positioning accuracy of indoor mobile robot, an indoor localization method based on information fusion is proposed. Firstly，using the Radio frequency identification (RFID) location method to determine the approximate range of the mobile robot's position, in the scope of the current with visual positioning for robot pose information including location coordinates and the deflection Angle; Secondly, using adaptive weighted fusion method to fuse RFID and visual location information; finally, the final result is obtained by Kalman filtering on the location information. The experimental results show that this method can improve the precision of positioning effectively.
An Indoor Mobile Robot Localization Method Based on Information Fusion, Internet of Things and Cloud Computing.
Vol. 5, No. 3,
2017, pp. 52-58.
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