Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammed Akallouch"'
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
Publikováno v:
Information, Vol 13, Iss 8, p 381 (2022)
Accurate and timely traffic information is a vital element in intelligent transportation systems and urban management, which is vitally important for road users and government agencies. However, existing traffic prediction approaches are primarily ba
Externí odkaz:
https://doaj.org/article/f703c56b373c46118b0643dddbdab60e
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5afd8f3e9b12a5f4497ba870fa274f47
https://doi.org/10.1109/tits.2020.3029451
https://doi.org/10.1109/tits.2020.3029451
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ff137e0f4af973b5a93075f754aad8e
https://ieeexplore.ieee.org/document/9466101/
https://ieeexplore.ieee.org/document/9466101/