WiTraffic: Non-intrusive Vehicle Classification Using WiFi: Poster Abstract

@article{Zhang2016WiTrafficNV,
  title={WiTraffic: Non-intrusive Vehicle Classification Using WiFi: Poster Abstract},
  author={Shaohu Zhang and Myounggyu Won and Sang Hyuk Son},
  journal={Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM},
  year={2016}
}
  • Shaohu Zhang, M. Won, S. Son
  • Published 14 November 2016
  • Computer Science
  • Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM
We present WiTraffic: the first WiFi-based traffic monitoring system. The unique WiFi Channel State Information (CSI) patterns of passing vehicles are captured and analyzed to perform vehicle classification. We implemented WiTraffic 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%. 

Figures from this paper

Wi-chase: A WiFi based human activity recognition system for sensorless environments
  • S. Arshad, Chunhai Feng, Heng Li
  • Computer Science
    2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
  • 2017
TLDR
This paper presents Wi-Chase, a sensorless system based on CSI from ubiquitous WiFi packets for human activity detection that is the first system that gathers information from all the subcarriers to identify and classify multiple activities.
Wi-Fi FingerPrinting Based Indoor Localization Using Nano-Scale Unmanned Aerial Vehicles
TLDR
The proposed system significantly reduces the efforts for collecting WiFi fingerprints and is implemented on a commercially available miniature open-source quadcopter platform by integrating a contemporary WiFi-fingerprint-based localization system.
Feature Extraction In Noise-Diverse Environments For Human Activities Recognition Using Wi-Fi
TLDR
This dissertation presents WiChase framework which extracts anomalous CSI data and processes it to sense and classify surrounding human activities and automates the data extraction and activity labeling based on the variance of multipleinput and multiple-output (MIMO) subcarriers.
Wi-Fi Finger-Printing Based Indoor Localization Using Nano-Scale Unmanned Aerial Vehicles
TLDR
The proposed system significantly reduces the efforts for collecting WiFi fingerprints and is implemented on a commercially available miniature open-source quadcopter platform by integrating a contemporary WiFi-fingerprint-based localization system.
Design, Implementation and a Pilot Study of Mobile Framework for Pedestrian Safety Using Smartphone Sensors
TLDR
WiPedCross is presented, a WiFi direct-based pedestrian safety system that senses and evaluates a risk, and alerts accordingly the user to prevent traffic accidents, and is implemented on an Android platform for a pilot study to evaluate feasibility, reliability, and validity of WiPedCross.

References

Occupancy Estimation Using Only WiFi Power Measurements
TLDR
A framework based on understanding two important ways that people leave their signature on the transmitted signal: blocking the line of sight (LOS) and scattering effects is proposed and can estimate the total number of people with a good accuracy with only a pair of WiFi cards and the corresponding RSSI measurements.