A Field Experience for a Vehicle Recognition System using Magnetic Sensors

被引：0

作者：

Burresi, Giovanni ^{[1
]}

Giorgi, Roberto ^{[2
]}

机构：

[1] Univ Florence, Dept Informat Engn, Florence, Italy

[2] Univ Siena, Dept Informat Engn & Math, Siena, Italy

来源：

2015 4TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2015年

关键词：

component; classification; vehicle recognition; magnetic sensors; cyber-physical systems; traffic monitoring;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper describes the development and testing of a vehicle recognition prototype based on magnetic sensors. The aim of this research is to design a low cost, low power consumption and simple hardware platform for vehicle recognition. The goal is to recognize four types of vehicles (car, bus, mini-bus or camper) as they run over a set of magnetic sensors. We describe all steps for correct vehicle presence detection, pattern preprocessing, speed and length detection using a combination of an empirical and an analytical method for signal alignment. We collected a set of data regarding this types of vehicles and explain how to differentiate them. Our classification tests reach a confidence factor greater than 91%.

引用

页码：178 / 181

页数：4

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