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학술대회 RSSI-Based Fingerprint Map Building for Indoor Localization
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저자
이유철, 박승환
발행일
201310
출처
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2013, pp.292-293
DOI
https://dx.doi.org/10.1109/URAI.2013.6677390
협약과제
13VC2800, 원전 고방사선구역 작업환경 모니터링 로봇 시스템 개발, 박승환
초록
This paper has proposed a mapping system to build the RSSI-based fingerprint database for indoor localization. The mapping system has been developed practically to achieve two main objectives, fast and accurate radio-map construction. For the first aim, we implement the specially designed handheld mapping cart consisting of an odometer, a LiDAR, and a WLAN receiver in order to rapidly measure the environmental data at each area. To accomplish the rest goal, we suggest the map building algorithms employing the scan-matching, the graph-based optimization, and probabilistic median filter by using the gathered environmental data. The experiment has been performed in real office space to demonstrate the practical usability of the proposed method. And finally, we remark the conclusion and offer the future works to improve the mapping system of RSSI-based fingerprint database. © 2013 IEEE.
KSP 제안 키워드
Fast and accurate, Fingerprint database, Graph-based optimization, Map Construction, Map building, Median filter, Office space, Radio Map, Scan matching, environmental data, fingerprint map