Methods for Magnetic Signature Comparison Evaluation in Vehicle Re-Identification Context

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256132" target="_blank" >RIV/61989100:27240/24:10256132 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2079-9292/13/14/2722" target="_blank" >https://www.mdpi.com/2079-9292/13/14/2722</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/electronics13142722" target="_blank" >10.3390/electronics13142722</a>

Result language

angličtina

Original language name

Methods for Magnetic Signature Comparison Evaluation in Vehicle Re-Identification Context

Original language description

Intelligent transportation systems represent innovative solutions for traffic congestion minimization, mobility improvements and safety enhancement. These systems require various inputs about vehicles and traffic state. Vehicle re-identification systems based on video cameras are most popular; however, more strict privacy policy necessitates depersonalized vehicle re-identification systems. Promising research for depersonalized vehicle re-identification systems involves leveraging the captured unique distortions induced in the Earth&apos;s magnetic field by passing vehicles. Employing anisotropic magneto-resistive sensors embedded in the road surface system captures vehicle magnetic signatures for similarity evaluation. A novel vehicle re-identification algorithm utilizing Euclidean distances and Pearson correlation coefficients is analyzed, and performance is evaluated. Initial processing is applied on registered magnetic signatures, useful features for decision making are extracted, different classification algorithms are applied and prediction accuracy is checked. The results demonstrate the effectiveness of our approach, achieving 97% accuracy in vehicle re-identification for a subset of 300 different vehicles passing the sensor a few times. (C) 2024 by the authors.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Electronics

ISSN

2079-9292

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

14

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

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UT code for WoS article

001277104100001

EID of the result in the Scopus database

2-s2.0-85199629517