@article {Bousarhane2021128,
	title = {Road signs recognition: State-of-the-art and perspectives},
	journal = {International Journal of Data Analysis Techniques and Strategies},
	volume = {13},
	number = {1-2},
	year = {2021},
	note = {cited By 3},
	pages = {128-150},
	abstract = {Making cars safer is a crucial element of saving lives on roads. In case of inattention or distraction, drivers need a performant system that is capable of assisting and alerting them when a road sign appears in their field of vision. To create such type of systems, we need to know first the major difficulties that still face traffic signs recognition, as presented in the first and second sections of this paper. We should also study the different methods proposed by researchers to overcome each of these challenges, as proposed in the third section. Evaluation metrics and criteria for proving the effectiveness of these approaches represents also an important element which section three of this article presents. Ameliorating the existing methods is crucial to ensure the effectiveness of the recognition process, especially by using deep learning algorithms and optimisation techniques, as discussed in the last section of this paper. Copyright {\textcopyright} 2021 Inderscience Enterprises Ltd.},
	doi = {10.1504/IJDATS.2021.114672},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105378999\&doi=10.1504\%2fIJDATS.2021.114672\&partnerID=40\&md5=4e6615f2c65809991f341981b8972375},
	author = {Bousarhane, B. and Bensiali, S. and Bouzidi, D.}
}
@conference {Bensiali2012,
	title = {Novel approach for accessible visual resources in a Web based learning environment},
	booktitle = {IEEE Global Engineering Education Conference, EDUCON},
	year = {2012},
	note = {cited By 0},
	doi = {10.1109/EDUCON.2012.6201150},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864129251\&doi=10.1109\%2fEDUCON.2012.6201150\&partnerID=40\&md5=4f3934faee28a47ea5bff8c231d3b82d},
	author = {Bensiali, S. and Ajhoun, R. and Abik, M.}
}
