LAPSE:2023.33128
Published Article
LAPSE:2023.33128
Analysis of Market-Ready Traffic Sign Recognition Systems in Cars: A Test Field Study
Darko Babić, Dario Babić, Mario Fiolić, Željko Šarić
April 20, 2023
Advanced Driver Assistance System (ADAS) represents a collection of vehicle-based intelligent safety systems. One in particular, Traffic Sign Recognition System (TSRS), is designed to detect and interpret roadside information in the form of signage. Even though TSRS has been on the market for more than a decade now, the available ones differ in hardware and software solutions they use, as well as in quantity and typology of signs they recognize. The aim of this study is to determine whether differences between detection and readability accuracy of market-ready TSRS exist and to what extent, as well as how different levels of “graphical changes” on the signs affect their accuracy. For this purpose, signs (“speed limit” and “prohibition of overtaking”) were placed on a test field and 17 vehicles from 14 different car brands underwent testing. Overall, the results showed that sign detection and readability by TSRS differ between car brands and that even small changes in the design of signs can drastically affect TSRS accuracy. Even in a controlled environment where no sign has been altered, there has been a 5% margin of misread signs.
Keywords
ADAS, automated driving, traffic sign recognition system, traffic signs
Subject
Suggested Citation
Babić D, Babić D, Fiolić M, Šarić Ž. Analysis of Market-Ready Traffic Sign Recognition Systems in Cars: A Test Field Study. (2023). LAPSE:2023.33128
Author Affiliations
Babić D: Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia [ORCID]
Babić D: Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia [ORCID]
Fiolić M: Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
Šarić Ž: Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
Journal Name
Energies
Volume
14
Issue
12
First Page
3697
Year
2021
Publication Date
2021-06-21
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en14123697, Publication Type: Journal Article
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LAPSE:2023.33128
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doi:10.3390/en14123697
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Apr 20, 2023
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CC BY 4.0
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Apr 20, 2023
 
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