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Algorithm for finding the moving direction of a vehicle using magnetic sensor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

To improve the efficiency of the intelligent transportation system, the study on the detection of speed and moving direction of a vehicle has been researched recently. Conventional method to detect the moving direction of a vehicle is to use two separate sensor units under vehicle road, which results in expensive cost and long installation time. In this research, a novel method of detecting the moving direction of a vehicle using only one sensor unit is proposed. The newest magnetic sensor is multi-axis detectable and occupies very small space. The proposed detection scheme uses a 2-axis magnetic sensor, low cost microcontroller, and signal processing technique. The designed sensor for detection of the direction of a vehicle is easy to install and less expensive than other type sensor. Experimental results showed that the proposed algorithm sensor was very effective and reliable.

Original languageEnglish
Title of host publicationIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation
Pages74-79
Number of pages6
DOIs
StatePublished - 2011
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2011 - Paris, France
Duration: 11 Apr 201115 Apr 2011

Publication series

NameIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation

Conference

ConferenceSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2011
Country/TerritoryFrance
CityParis
Period11/04/1115/04/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • AMR Sensor
  • Lissajous figure
  • phase difference

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