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

Title
Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi
Authors
Zhang, Shaohu ZhangWon, MyounggyuSon, Sang Hyuk
DGIST Authors
Son, Sang Hyuk
Issue Date
2016
Citation
14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, 358-359
Type
Conference
Article 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
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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