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

Title
Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi
Author(s)
Zhang, Shaohu ZhangWon, MyounggyuSon, Sang Hyuk
Issued Date
2016
Citation
14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, pp.358 - 359
Type
Conference Paper
ISBN
9780000000000
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).
URI
http://hdl.handle.net/20.500.11750/3609
DOI
10.1145/2994551.2996705
Publisher
Association for Computing Machinery, Inc
Related Researcher
  • 손상혁 Son, Sang Hyuk
  • Research Interests Real-time system; Wireless sensor network; Cyber-physical system; Data and event service; Information security; 실시간 임베디드 시스템
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Appears in Collections:
Department of Electrical Engineering and Computer Science RTCPS(Real-Time Cyber-Physical Systems) Lab 2. Conference Papers

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