A vehicle detection algorithm based on wireless magnetic sensor networks

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%.

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