Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint - Université Paris-Est-Créteil-Val-de-Marne
Conference Papers Year : 2020

Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint

Antoine Meicler
Assan Sanogo
  • Function : Author
Nadiya Shvai
Arcadi Llanza
Abul Hasnat
Marouan Khata
Ed-Doughmi Younes
  • Function : Author
Alami Khalil
  • Function : Author
Yazid Lachachi
Amir Nakib
Laboratoire Images, Signaux et Systèmes Intelligents
SIMO

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Computer Science [cs]

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https://hal.u-pec.fr/hal-04348570

Submitted on : Saturday, December 16, 2023-6:29:50 PM

Last modification on : Sunday, December 17, 2023-3:09:52 AM

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hal-04348570 , version 1 (16-12-2023)

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Antoine Meicler, Assan Sanogo, Nadiya Shvai, Arcadi Llanza, Abul Hasnat, et al.. Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint. In proc. of 17th International Conference on Image Analysis and Recognition (ICIAR) 2020, Jun 2020, Póvoa de Varzim, Portugal. ⟨10.1007/978-3-030-50347-5_10⟩. ⟨hal-04348570⟩

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