DGIST Scholar: Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi

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DC Field	Value	Language
dc.contributor.author	Zhang, Shaohu Zhang	-
dc.contributor.author	Won, Myounggyu	-
dc.contributor.author	Son, Sang Hyuk	-
dc.date.available	2017-07-11T07:31:06Z	-
dc.date.created	2017-05-08	-
dc.date.issued	2016	-
dc.identifier.isbn	9780000000000	-
dc.identifier.uri	http://hdl.handle.net/20.500.11750/3609	-
dc.description.abstract	We present WiTraffic: The first WiFi-based traffic monitor-ing system. The unique WiFi Channel State Information (CSI) patterns of passing vehicles are captured and analyzed to perform vehicle classification. We implemented WiTraf-fic with off-The-shelf WiFi devices and performed real-world experiments with over a week of field data collection. The results show that the classification accuracy is around 96%. © 2016 Copyright held by the owner/author(s).	-
dc.publisher	Association for Computing Machinery, Inc	-
dc.relation.ispartof	14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016	-
dc.title	Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi	-
dc.type	Conference Paper	-
dc.identifier.doi	10.1145/2994551.2996705	-
dc.identifier.scopusid	2-s2.0-85007109691	-
dc.identifier.bibliographicCitation	14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, pp.358 - 359	-
dc.citation.conferenceDate	2016-11-14	-
dc.citation.conferencePlace	US	-
dc.citation.endPage	359	-
dc.citation.startPage	358	-
dc.citation.title	14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016	-
dc.type.docType	Conference Paper	-

Appears in Collections:: Department of Electrical Engineering and Computer Science RTCPS(Real-Time Cyber-Physical Systems) Lab 2. Conference Papers

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