Výsledky vyhledávání - "Zine el abidine Kherroubi"

Akademický článek

Review of driver behaviour modelling for highway on‐ramp merging

Autor: Zine el abidine Kherroubi, Samir Aknine

Publikováno v: IET Intelligent Transport Systems, Vol 18, Iss S1, Pp 2793-2813 (2024)

Abstract Autonomous driving is an exciting research field that has received growing attention in recent years. One of the most challenging and safety‐critical driving situations is highway on‐ramp merging. Most decision‐making strategies that p

Externí odkaz: https://doaj.org/article/3a72015c557643eaa93b155f8135256a

Zobrazit plný text záznamu

Novel Decision-Making Strategy for Connected and Autonomous Vehicles in Highway On-Ramp Merging

Autor: Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha

Publikováno v: IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, IEEE, In press

High-speed highway on-ramp merging is a significant challenge toward realizing fully automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine communication and autonomous driving technologies, may improve greatly the safety per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::665d48912dc1d81fe796b6ca98a64f4c
https://doi.org/10.1109/tits.2021.3114983

Zobrazit plný text záznamu

Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging, Student Abstract

Autor: Zine el abidine Kherroubi, Samir Aknine, Rebiha Bacha

Publikováno v: AAAI
AAAI, Feb 2021, .Virtual Conference, Canada

High-speed highway on-ramp merging is one of the most difficult and critical tasks for any autonomous driving system. This work studies this problem by combining deep deterministic policy gradient (DDPG) reinforcement learning with drivers’ intenti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::414c4fae34c79ecc561f62b4dd364ac7
https://hal.archives-ouvertes.fr/hal-03091646

Zobrazit plný text záznamu

New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)

Autor: Samir Aknine, Rebiha Bacha, Zine El Abidine Kherroubi

Publikováno v: AAAI

This paper proposes a new approach for predicting drivers' intentions in a Highway on-ramp merge situation using a central road side unit (RSU) with probabilistic classifiers.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a9b79032aac8979ca76ac5f6c85d5c5
https://doi.org/10.1609/aaai.v34i10.7193

Zobrazit plný text záznamu

Real time implementation of space vector pulse width modulation for three level neutral point clamped (NPC) inverter using Arduino DUE board

Autor: Mostefa Kermadi, Zine El Abidine Kherroubi, El Madjid Berkouk, Zainal Salam

Publikováno v: 2017 IEEE Conference on Energy Conversion (CENCON).

In this paper, a real-time digital implementation of a space vector pulse width modulation (SVPWM) algorithm for three level neutral point clamped (NPC) inverter is carried out using ARDUINO DUE development board with a theorical study under the MATL

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b71d35bc02b1c043daf75e792936e84
https://doi.org/10.1109/cencon.2017.8262495

Zobrazit plný text záznamu

Real time implementation of space vector pulse width modulation using Arduino DUE board

Autor: Mostefa Kermadi, Zine El Abidine Kherroubi, Fethi Akel, El Madjid Berkouk

Publikováno v: IECON

In this paper, a real-time digital implementation of a two level space vector pule width modulation (SVPWM) algorithm is carried out using ARDUINO DUE development board. The main contribution in this work is that the implementation was performed by u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19a143466827aad1e407c0e4d6c81b7b
https://doi.org/10.1109/iecon.2016.7794037

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání