Cognition of road traffic signs: a systematic literature review
As a research hotspot in computer vision, traffic sign recognition has made remarkable progress in the past few years. This study provides a systematic review of the field of traffic sign recognition. Thirty-nine papers relevant to this study were manually selected for exploration from four well-kno...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/119167/ http://psasir.upm.edu.my/id/eprint/119167/1/119167.pdf |
| _version_ | 1848867892507967488 |
|---|---|
| author | Mohamed, Raihani Peizhi, Wang Manshor, Noridayu Mustapha, Norwati |
| author_facet | Mohamed, Raihani Peizhi, Wang Manshor, Noridayu Mustapha, Norwati |
| author_sort | Mohamed, Raihani |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | As a research hotspot in computer vision, traffic sign recognition has made remarkable progress in the past few years. This study provides a systematic review of the field of traffic sign recognition. Thirty-nine papers relevant to this study were manually selected for exploration from four well-known databases (IEEE Xplore, ScienceDirect, Scopus, and Google Scholar). Five questions were proposed to describe general trends in traffic sign recognition. These questions are answered by the literature review. Specifically, first, determine the literature review method and select the papers to be analyzed. Next, various algorithms and commonly used data sets for traffic sign recognition are analyzed in detail. Then, the advantages and disadvantages of various algorithms are compared, and the challenges faced in traffic sign recognition are discussed in depth. Finally, the application fields of traffic sign recognition were deeply explored. This review helps provide guidance and comprehensive information to researchers in this field. |
| first_indexed | 2025-11-15T14:43:43Z |
| format | Article |
| id | upm-119167 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:43:43Z |
| publishDate | 2024 |
| publisher | Little Lion Scientific |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1191672025-08-07T01:39:33Z http://psasir.upm.edu.my/id/eprint/119167/ Cognition of road traffic signs: a systematic literature review Mohamed, Raihani Peizhi, Wang Manshor, Noridayu Mustapha, Norwati As a research hotspot in computer vision, traffic sign recognition has made remarkable progress in the past few years. This study provides a systematic review of the field of traffic sign recognition. Thirty-nine papers relevant to this study were manually selected for exploration from four well-known databases (IEEE Xplore, ScienceDirect, Scopus, and Google Scholar). Five questions were proposed to describe general trends in traffic sign recognition. These questions are answered by the literature review. Specifically, first, determine the literature review method and select the papers to be analyzed. Next, various algorithms and commonly used data sets for traffic sign recognition are analyzed in detail. Then, the advantages and disadvantages of various algorithms are compared, and the challenges faced in traffic sign recognition are discussed in depth. Finally, the application fields of traffic sign recognition were deeply explored. This review helps provide guidance and comprehensive information to researchers in this field. Little Lion Scientific 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/119167/1/119167.pdf Mohamed, Raihani and Peizhi, Wang and Manshor, Noridayu and Mustapha, Norwati (2024) Cognition of road traffic signs: a systematic literature review. Journal of Theoretical and Applied Information Technology, 102 (7). pp. 3040-3058. ISSN 1992-8645; eISSN: 1817-3195 http://www.jatit.org/volumes/Vol102No7/24Vol102No7.pdf |
| spellingShingle | Mohamed, Raihani Peizhi, Wang Manshor, Noridayu Mustapha, Norwati Cognition of road traffic signs: a systematic literature review |
| title | Cognition of road traffic signs: a systematic literature review |
| title_full | Cognition of road traffic signs: a systematic literature review |
| title_fullStr | Cognition of road traffic signs: a systematic literature review |
| title_full_unstemmed | Cognition of road traffic signs: a systematic literature review |
| title_short | Cognition of road traffic signs: a systematic literature review |
| title_sort | cognition of road traffic signs: a systematic literature review |
| url | http://psasir.upm.edu.my/id/eprint/119167/ http://psasir.upm.edu.my/id/eprint/119167/ http://psasir.upm.edu.my/id/eprint/119167/1/119167.pdf |