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 pre-processing, 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\%.
Burresi, G., Giorgi, R. (2015). A field experience for a vehicle recognition system using magnetic sensors. In IEEE MECO 2015 (pp.178-181). New York : IEEE [10.1109/MECO.2015.7181897].
A field experience for a vehicle recognition system using magnetic sensors
BURRESI, GIOVANNI;GIORGI, ROBERTO
Writing – Review & Editing
2015-01-01
Abstract
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 pre-processing, 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\%.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/1003311