Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Khalid Fardousse"'
Publikováno v:
IEEE Access, Vol 10, Pp 124766-124776 (2022)
Federated learning (FL) has been proposed as a machine learning approach to collaboratively learn a shared prediction model. Although, during FL training, only a subset of workers participate in each round, existing approaches introduce model bias wh
Externí odkaz:
https://doaj.org/article/85a8ddad70754a92ab7edb744a6cae9e
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:
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
Autor:
Khalid Fardousse, Ismail Berrada, Ayoub Berrag, Afaf Bouhoute, Mohamed Mhaouach, Houda Bouraqqadi
Publikováno v:
Proceedings of the Canadian Conference on Artificial Intelligence.
Federated Learning (FL) is an emerging learning paradigm that enables collaborative model training, across multiple devices using decentralized data, allowing each device to keep the privacy of its local data. Heterogeneity of data distributions is a
Publikováno v:
WINCOM
In this paper, we will present our project concerning realizing a system of predicting maneuvers before the vehicle turns through using a dataset containing videos of drivers in different situations and different maneuvers, as well as information on
Publikováno v:
WINCOM
Traffic light detection and classification represent a major issue for autonomous driving. Although a number of works have been published on this topic, providing a real-time processing solution is still a challenging task. In this paper, we show, by