Literature DB >> 33401563

Which Digital-Output MEMS Magnetometer Meets the Requirements of Modern Road Traffic Survey?

Michal Hodoň1, Ondrej Karpiš1, Peter Ševčík1, Andrea Kociánová2.   

Abstract

Present systems for road traffic surveillance largely utilize MEMS magnetometers for the purpose of vehicle detection and classification. Magnetoresistive sensing or LR oscillation circuitry are technologies providing the sensors with the competitive advantage which lies in the energy efficiency and low price. There are several chip suppliers on the market who specialize in the development of these sensors. The aim of this paper is to compare available sensors from the viewpoint of their suitability for traffic measurements. A summary of the achieved results is given in the form of the score for each sensor. The introduced sensor chart should provide the audience with knowledge about pros and cons of sensors, especially if intended for the purposes of road traffic surveillance. The authors in this research focused on the specific situation of road traffic monitoring with magnetometers placed at the roadside.

Entities:  

Keywords:  classification; detection; magnetometer; measurement; traffic; vehicle

Year:  2021        PMID: 33401563      PMCID: PMC7796006          DOI: 10.3390/s21010266

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  5 in total

1.  Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor.

Authors:  Chang Xu; Yingguan Wang; Xinghe Bao; Fengrong Li
Journal:  Sensors (Basel)       Date:  2018-05-24       Impact factor: 3.576

2.  A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring.

Authors:  Marcin Bernas; Bartłomiej Płaczek; Wojciech Korski; Piotr Loska; Jarosław Smyła; Piotr Szymała
Journal:  Sensors (Basel)       Date:  2018-09-26       Impact factor: 3.576

3.  Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System.

Authors:  Jonathon Handscombe; Hong Qing Yu
Journal:  Sensors (Basel)       Date:  2019-01-16       Impact factor: 3.576

4.  Traffic Vehicle Counting in Jam Flow Conditions Using Low-Cost and Energy-Efficient Wireless Magnetic Sensors.

Authors:  Xu Bao; Haijian Li; Dongwei Xu; Limin Jia; Bin Ran; Jian Rong
Journal:  Sensors (Basel)       Date:  2016-11-06       Impact factor: 3.576

  5 in total
  1 in total

1.  Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors.

Authors:  Tanmoy Sarkar Pias; David Eisenberg; Jorge Fresneda Fernandez
Journal:  Sensors (Basel)       Date:  2022-06-10       Impact factor: 3.847

  1 in total

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