The DOI matches its Crossref record.
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
Open accessAbstract
In this paper, we provide a survey of the traffic sign detection literature, detailing detection systems for traffic sign recognition (TSR) for driver assistance. We separately describe the contributions of recent works to the various stages inherent in traffic sign detection: segmentation, feature extraction, and final sign detection. While TSR is a well-established research area, we highlight open research issues in the literature, including a dearth of use of publicly available image databases and the over-representation of European traffic signs. Furthermore, we discuss future directions of TSR research, including the integration of context and localization. We also introduce a new public database containing U.S. traffic signs.
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Cited by
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Vision-Based Driver Assistance Systems: Survey, Taxonomy and Advances
Horgan, J., Hughes, C., McDonald, J., & Yogamani, S. (2015) · 2015 IEEE 18th International Conference on Intelligent Transportation Systems · doi:10.1109/itsc.2015.329 · Cited by 72
Guo, J., Kurup, U., & Shah, M. (2018) · arXiv · doi:10.48550/arxiv.1811.11277 · Cited by 14
Jensen, M. B., Mogelmose, A., & Moeslund, T. B. (2020) · 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc45102.2020.9294694 · Cited by 14
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Li, S., Salek, M. S., Chowdhury, M., & Wang, Y. (2026) · Physical Review Research · doi:10.1103/wb1b-ntpc
Metadata
- Authors
- Mogelmose, A., Trivedi, M. M., & Moeslund, T. B.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2012-12
- Volume
- 13
- Issue
- 4
- Pages
- 1484-1497
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2126628495
- Cited by
- 684
- References
- 0
- FWCI
- 55.45
- Type
- journal article
- Language
- en
- Open access
- green
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