Traffic Sign Detection for Intelligent Transportation Systems: A Survey

Recently, intelligent transportation systems (ITS) attracts more and more attention for its wide applications. Traffic sign detection and recognition (TSDR) system is an essential task of ITS. It enhances the safety by informing the drivers about the current state of traffic signs and offering valua...

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Bibliographic Details
Published in:E3S web of conferences 2021-01, Vol.229, p.1006
Main Authors: Ellahyani, Ayoub, El Jaafari, Ilyas, Charfi, Said
Format: Article
Language:English
Subjects:
Color
Intelligent transportation systems
Learning algorithms
Machine learning
Segmentation
Street signs
survey
Traffic control
Traffic information
Traffic safety
traffic sign detection
traffic sign recognition
Traffic signs
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Summary:Recently, intelligent transportation systems (ITS) attracts more and more attention for its wide applications. Traffic sign detection and recognition (TSDR) system is an essential task of ITS. It enhances the safety by informing the drivers about the current state of traffic signs and offering valuable information about precautions. This paper reviews the popular traffic sign detection methods (TSD) prevalent in recent literature. The methods are divided into color-based, shape-based, and machine learning based ones. Color space, segmentation method, features, and shape detection method are the terms considered in the review of the detection module. The paper presents a comparison between these methods. Furthermore, a list of publicly available data sets and a discussion on possible future works are provided.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202122901006