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- Title
An Innovative Approach to Track Moving Object based on RFID and Laser Ranging Information.
- Authors
Gaoli Liang; Ran Liu; Yulu Fu; Hua Zhang; Heng Wang; ur Rehman, Shafiq; Mingming Guo
- Abstract
RFID (Radio Frequency Identification) identifies a specific object by radio signals. As the tag provides a unique ID for the purpose of identification, RFID technology effectively solves the ambiguity and occlusion problem that challenges the laser or camera-based approach. This paper proposes an approach to track a moving object based on the integration of RFID and laser ranging information using a particle filter. To be precise, we split laser scan points into different clusters which contain the potential moving objects and calculate the radial velocity of each cluster. The velocity information is compared with the radial velocity estimated from RFID phase difference. In order to achieve the positioning of the moving object, we select a number of K best matching clusters to update the weights of the particle filter. To further improve the positioning accuracy, we incorporate RFID signal strength information into the particle filter using a pre-trained sensor model. The proposed approach is tested on a SCITOS service robot under different types of tags and various human velocities. The results show that fusion of signal strength and laser ranging information has significantly increased the positioning accuracy when compared to radial velocity matching-based or signal strength-based approaches. The proposed approach provides a solution for human machine interaction and object tracking, which has potential applications in many fields for example supermarkets, libraries, shopping malls, and exhibitions.
- Subjects
LASER ranging; OBJECT tracking (Computer vision); RADIO frequency; INFORMATION filtering; CAMERAS; SHOPPING malls; OPTICAL scanners
- Publication
KSII Transactions on Internet & Information Systems, 2020, Vol 14, Issue 1, p131
- ISSN
1976-7277
- Publication type
Article
- DOI
10.3837/tiis.2020.01.008