Research Article
A Vehicle Detection Algorithm Based on Wireless Magnetic Sensor Networks
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694677, author={Xiangke Guan and Zusheng Zhang and Jingquan Zhou and Fengqi Yu}, title={A Vehicle Detection Algorithm Based on Wireless Magnetic Sensor Networks}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={wireless magnetic sensor networks vehicle detection min-max algorithm threshold-based algorithm parking management system}, doi={10.1109/ChinaCom.2013.6694677} }- Xiangke Guan
Zusheng Zhang
Jingquan Zhou
Fengqi Yu
Year: 2013
A Vehicle Detection Algorithm Based on Wireless Magnetic Sensor Networks
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694677
Abstract
At present, the research of parking management system based on Wireless Sensor Networks (WSN) and Anisotropic Magneto Resistive (AMR) sensors have made great progress. However, due to the diversity of the vehicle magnetic signal and the interference caused by the adjacent parking spaces, vehicle detection technique using wireless magnetic sensor networks is still immature. For accurately detecting a parking vehicle in a parking lot, we propose a detection algorithm named Relative Extremum Algorithm (REA). On the parking lot at Shenzhen Institutes of Advanced Technology (SIAT), 82 sensor devices are deployed to evaluate the performance of REA. By running the system for more than half a year, we observe that the vehicle detection accuracy of the REA is above 98.8%.
