Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Fawzi Nashashibi"'
Publikováno v:
IEEE Access, Vol 8, Pp 99729-99739 (2020)
With the increasing demand for urban space, more and more multistory carparks are needed as they will play a central role in the city transportation system. An autonomous navigation solution for Intelligent Vehicles in these indoor scenarios is then
Externí odkaz:
https://doaj.org/article/e2b94e63de1e4f2cbb59cfda19862f66
Autor:
Fernando Garrido, Leonardo Gonzalez, Vicente Milanes, Joshue Perez Rastelli, Fawzi Nashashibi
Publikováno v:
IEEE Access, Vol 8, Pp 128730-128740 (2020)
This paper proposes a two-stage local path planning approach to deal with all kinds of scenarios (i.e. intersections, turns, roundabouts). The first stage carries out an off-line optimization, considering vehicle kinematics and road constraints. The
Externí odkaz:
https://doaj.org/article/beae4a4fe85d482688cc38f19ab0e04b
Autor:
Danut Ovidiu Pop, Alexandrina Rogozan, Clement Chatelain, Fawzi Nashashibi, Abdelaziz Bensrhair
Publikováno v:
IEEE Access, Vol 7, Pp 149318-149327 (2019)
A pedestrian detection system is a crucial component of advanced driver assistance systems since it contributes to road flow safety. The safety of traffic participants could be significantly improved if these systems could also predict and recognize
Externí odkaz:
https://doaj.org/article/65025621f37046de90b5199637a83ed4
Autor:
Kichun Jo, Sungjin Cho, Chansoo Kim, Paulo Resende, Benazouz Bradai, Fawzi Nashashibi, Myoungho Sunwoo
Publikováno v:
Sensors, Vol 18, Iss 12, p 4119 (2018)
Nowadays, many intelligent vehicles are equipped with various sensors to recognize their surrounding environment and to measure the motion or position of the vehicle. In addition, the number of intelligent vehicles equipped with a mobile Internet mod
Externí odkaz:
https://doaj.org/article/ce43c20f59664b2e8e8fd143c661a2c6
Publikováno v:
Sensors, Vol 13, Iss 2, Pp 2645-2663 (2013)
Electric vehicles are progressively introduced in urban areas, because of their ability to reduce air pollution, fuel consumption and noise nuisance. Nowadays, some big cities are launching the first electric car-sharing projects to clear traffic jam
Externí odkaz:
https://doaj.org/article/0d5a05e7b40b4c14852d49f1fffb4628
Publikováno v:
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică, Vol 32, Iss 1, Pp 42-47 (2009)
The new generation of ADAS systems based on cooperation between vehicles can offer serious perspectives to the road security. The inter-vehicle cooperation is made possible thanks to the revolution in the wireless mobile ad hoc network. In this paper
Externí odkaz:
https://doaj.org/article/ac715b70c33e4f90beeff8df8ea9a580
Autor:
Cristiano Premebida, Felipe Jiménez, Fawzi Nashashibi, Pedro Serra, Jose E. Naranjo, Conceicao Magalhaes, Rodrigo Castiñeira, Alberto Valejo, Mauro Gil
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 14:6-19
Publikováno v:
IEEE Intelligent Transportation Systems Magazine
IEEE Intelligent Transportation Systems Magazine, IEEE, 2019
IEEE Intelligent Transportation Systems Magazine, 2019, ⟨10.1109/MITS.2019.2926364⟩
IEEE Intelligent Transportation Systems Magazine, IEEE, 2019
IEEE Intelligent Transportation Systems Magazine, 2019, ⟨10.1109/MITS.2019.2926364⟩
International audience; The combination of multi-modal image fusion schemes with deep learning classification methods, and particularly with Convolutional Neural Networks (CNNs) has achieved remarkable performances in the pedestrian detection field.
Autor:
Sébastien, Glaser, Maurice, Cour, Lydie, Nouveliere, Alain, Lambert, Fawzi, Nashashibi, Jean-Christophe, Popieul, Benjamin, Mourllion
Publikováno v:
In Procedia - Social and Behavioral Sciences 2012 48:1764-1774
Publikováno v:
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
IEEE Transactions on Intelligent Vehicles, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
International audience; Self-driving vehicles need to continuously analyse the driving scene, understand the behavior of other road users and predict their future trajectories in order to plan a safe motion and reduce their reaction time. Motivated b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5da8900f0fa08fcff59a1506a8de9f02
https://inria.hal.science/hal-02543967/file/FINAL_VERSION.pdf
https://inria.hal.science/hal-02543967/file/FINAL_VERSION.pdf