Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이병주 | - |
dc.date.accessioned | 2023-05-22T04:22:11Z | - |
dc.date.available | 2023-05-22T04:22:11Z | - |
dc.date.issued | 2014-09 | - |
dc.identifier.citation | IEEE International Conference on Intelligent Robots and Systems, article no. 6943210, Page. 4571-4576 | - |
dc.identifier.issn | 2153-0858 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/6943210 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/181025 | - |
dc.description.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. | - |
dc.description.sponsorship | This work is supported by the Technology Innovation Program (10040097) funded by the Ministry of Trade, Industry and Energy Republic of Korea (MOTIE, Korea), supported by Mid-career Researcher Program through NRF grant funded by the MEST (NRF-2013R1A2A2A01068814), and supported by the MOTIE( Ministry of Trade, Industry & Energy ), Korea, under the Robotics Specialized Education Consortium for Graduates support program supervised by the NIPA(National IT Industry Promotion Agency) (H1502-13-1001). This work performed by ICT bsaed Medical Robotic Systems Team of Hanyang University, Department of Electronic Systems Engineering was supported by the BK21 Plus Program funded by National Research Foundation of Korea (NRF). | - |
dc.language | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject | Experimental environment | - |
dc.subject | Zigbee | - |
dc.subject | Hybrid sensors | - |
dc.subject | Global coordinates | - |
dc.subject | Odometry | - |
dc.subject | Intelligent robots | - |
dc.subject | Shopping carts | - |
dc.subject | Wireless sensor networks | - |
dc.subject | Algorithms | - |
dc.subject | Localization algorithm | - |
dc.subject | Localization method | - |
dc.subject | Localization performance | - |
dc.title | Localization algorithm based on Zigbee wireless sensor network with application to an active shopping cart | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/IROS.2014.6943210 | - |
dc.relation.page | 4571-4576 | - |
dc.relation.journal | IEEE International Conference on Intelligent Robots and Systems | - |
dc.contributor.googleauthor | Gai, Shengnan | - |
dc.contributor.googleauthor | Jung, Eui jung | - |
dc.contributor.googleauthor | Yi, Byung ju | - |
dc.sector.campus | E | - |
dc.sector.daehak | 공학대학 | - |
dc.sector.department | 전자공학부 | - |
dc.identifier.pid | bj | - |
dc.identifier.article | 6943210 | - |
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