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Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi
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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 Zhang, Shaohu Zhang. (2016). Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi. 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, 358–359. doi: 10.1145/2994551.2996705 -
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 -
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Son, Sang Hyuk손상혁

Department of Information and Communication Engineering

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