Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kherroubi Zine el abidine"'
Autor:
Kherroubi, Zine el abidine
Current autonomous driving systems heavily rely on V2X communication data to enhance situational awareness and the cooperation between vehicles. However, a major challenge when using V2X data is that it may not be available periodically because of un
Externí odkaz:
http://arxiv.org/abs/2405.05072
Autor:
Tian, Yu, Zhao, Qiyang, Kherroubi, Zine el abidine, Boukhalfa, Fouzi, Wu, Kebin, Bader, Faouzi
Wireless communications at high-frequency bands with large antenna arrays face challenges in beam management, which can potentially be improved by multimodality sensing information from cameras, LiDAR, radar, and GPS. In this paper, we present a mult
Externí odkaz:
http://arxiv.org/abs/2309.11811
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems; Aug2022, Vol. 23 Issue 8, p12490-12502, 13p
Autor:
Kherroubi, Zine El Abidine
Publikováno v:
Artificial Intelligence [cs.AI]. Université Claude Bernard Lyon 1, 2020. English
Merging in the highway on-ramp is a significant challenge toward realizing fully automated driving (level 4 of autonomous driving). The combination of communication technology and autonomous driving technology, which underpins the notion of Connected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7c863bdb4a06b6135c065fc3b4e6e565
https://hal.archives-ouvertes.fr/tel-03191645v2
https://hal.archives-ouvertes.fr/tel-03191645v2
Akademický článek
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Autor:
Kherroubi, Zine El Abidine
Publikováno v:
Artificial Intelligence [cs.AI]. Université Claude Bernard Lyon 1, 2020. English
Merging in the highway on-ramp is a significant challenge toward realizing fully automated driving (level 4 of autonomous driving). The combination of communication technology and autonomous driving technology, which underpins the notion of Connected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::1bc70f87a89baf19fda5b9dde508095e
https://hal.archives-ouvertes.fr/tel-03191645
https://hal.archives-ouvertes.fr/tel-03191645
Publikováno v:
AAAI
AAAI, Feb 2020, NY, United States
AAAI, Feb 2020, NY, United States
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::daedd083d8649bd63bb200708462bf95
https://hal.archives-ouvertes.fr/hal-02357974
https://hal.archives-ouvertes.fr/hal-02357974
Publikováno v:
WI/IAT
IAT
IAT, Dec 2020, ., Australia
IAT
IAT, Dec 2020, ., Australia
Autonomous driving is a challenging research problem for AI. 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. We demonstr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee453c1ef5c3ea56170c5702950a4d7f
https://hal.archives-ouvertes.fr/hal-02979148
https://hal.archives-ouvertes.fr/hal-02979148
Publikováno v:
AAAI Conference on Artificial Intelligence
AAAI Conference on Artificial Intelligence, Jan 2019, Hawaii, United States. pp.9953-9954
AAAI Conference on Artificial Intelligence, Jan 2019, Hawaii, United States. pp.9953-9954
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4da2f51aed1e1f2a5740d87cdc289d1c
https://hal.archives-ouvertes.fr/hal-01910489
https://hal.archives-ouvertes.fr/hal-01910489
Publikováno v:
AAAI
This work explores the design of a central collaborative driving strategy between connected cars with the objective of improving road safety in case of highway on-ramp merging scenario. Based on a suitable method for predicting vehicle motion and beh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30b569ba20d5e1db5f8b7da5ffd658f1
https://doi.org/10.1609/aaai.v33i01.33019953
https://doi.org/10.1609/aaai.v33i01.33019953