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Localization algorithm based on Zigbee wireless sensor network with application to an active shopping cart
- Authors
- Gai, Shengnan; Jung, Eui jung; Yi, Byung ju
- Issue Date
- Sep-2014
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Experimental environment; Zigbee; Hybrid sensors; Global coordinates; Odometry; Intelligent robots; Shopping carts; Wireless sensor networks; Algorithms; Localization algorithm; Localization method; Localization performance
- Citation
- IEEE International Conference on Intelligent Robots and Systems, pp 4571 - 4576
- Pages
- 6
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE International Conference on Intelligent Robots and Systems
- Start Page
- 4571
- End Page
- 4576
- ISSN
- 2153-0858
- Abstract
- This paper describes a localization algorithm based on hybrid sensor system with application to an active shopping cart. For a given experimental environment, the probability localization method is applied to confirm the global coordinate of the target customer. And a hybrid sensor system combining the Zigbee and odometry is used to improve the localization performance of the active shopping cart. The shopping cart is equipped with motors for mobility and sensors for tracking person. Through experimental work, we corroborate the feasibility of the proposed localization algorithm. © 2014 IEEE.
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Related Researcher
- Yi, Byung Ju
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)