Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kaoutar Sefrioui Boujemaa"'
Autor:
Kaoutar Sefrioui Boujemaa, Mohammed Akallouch, Ismail Berrada, Khalid Fardousse, Afaf Bouhoute
Publikováno v:
IEEE Access, Vol 9, Pp 93937-93947 (2021)
Detection and recognition of traffic panels and their textual information are important applications of advanced driving assistance systems (ADAS). They can significantly contribute in enhancing road safety by optimizing the driving experience. Howev
Externí odkaz:
https://doaj.org/article/01b36002ed904aa08783136ee2e60ef9
Autor:
Kaoutar Sefrioui Boujemaa, Francois Bourzeix, Khalid Fardousse, Ismail Berrada, Othmane Naggar
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:5211-5230
Worldwide, traffic accidents are recognized as one of the leading causes of death. This phenomenon leads to significant daily losses affecting both road users and road authorities. Therefore, the need for effective dynamic road security systems is hi
Autor:
Mohammed Akallouch, Afaf Bouhoute, Kaoutar Sefrioui Boujemaa, Ismail Berrada, Khalid Fardousse
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:3026-3036
The extraction of text information from traffic panels is one of the challenging problems in computer vision. Although the past decade has seen a promising shift and important progress in object detection, few works and a limited number of datasets f
Autor:
Mohammed Akallouch, Afaf Bouhoute, Ismail Berrada, Khalid Fardousse, Kaoutar Sefrioui Boujemaa
Publikováno v:
IEEE Access, Vol 9, Pp 93937-93947 (2021)
Detection and recognition of traffic panels and their textual information are important applications of advanced driving assistance systems (ADAS). They can significantly contribute in enhancing road safety by optimizing the driving experience. Howev
Publikováno v:
WINCOM
Traffic sign recognition (TSR) represents an important feature of advanced driver assistance systems, contributing to the safety of the drivers, pedestrians and vehicles as well. Developing TSR systems requires the use of computer vision techniques,