Zobrazeno 1 - 10
of 116
pro vyhledávání: '"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
Publikováno v:
Applied Artificial Intelligence, Vol 34, Iss 10, Pp 710-729 (2020)
Perception is presented as a predominant concern in the functioning of a driving system, where it is necessary to understand how the information, events, and actions of each influence the state of the environment and the objectives of the driver, imm
Externí odkaz:
https://doaj.org/article/e8a77cf4815e434dae05d4d3b1d8499e
Publikováno v:
Applied Artificial Intelligence, Vol 33, Iss 13, Pp 1157-1178 (2019)
Road crashes are present as an epidemic in road traffic and continue to grow up, where, according to World Health Organization; they cause more than 1.24 million deaths each year and 20 to 50 million non-fatal injuries, so they should represent by 20
Externí odkaz:
https://doaj.org/article/8ab6bf3d052e4bbaa8e6f32a36b88547
Autor:
Narayan, Changder1 (AUTHOR) narayan.changder@gmail.com, Samir, Aknine2 (AUTHOR), Animesh, Dutta1 (AUTHOR)
Publikováno v:
Group Decision & Negotiation. Aug2022, Vol. 31 Issue 4, p747-768. 22p.
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, IEEE, In press
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
https://doi.org/10.1109/tits.2021.3114983
Publikováno v:
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3afb263b5569d17c5e1a5510b55efb42
https://doi.org/10.1109/ictai56018.2022.00217
https://doi.org/10.1109/ictai56018.2022.00217
Publikováno v:
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::591e6c2f1484f9d5cb62610473169027
https://doi.org/10.1109/ictai56018.2022.00114
https://doi.org/10.1109/ictai56018.2022.00114
Publikováno v:
Artificial Intelligence Review
Artificial Intelligence Review, Springer Verlag, 2021
Artificial Intelligence Review, Springer Verlag, 2021
Optimal Coalition Structure Generation (CSG) is a significant research problem in multi-agent systems that remains difficult to solve. This problem has many important applications in transportation, eCommerce, distributed sensor networks and others.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d424e8504595b4b403a9ef4fd0892be
https://doi.org/10.1007/s10462-020-09850-5
https://doi.org/10.1007/s10462-020-09850-5
Publikováno v:
The Journal of Supercomputing. 77:751-779
In a distributed system, multiple nodes work together to build a highly available, reliable, resource shareable, and fault-tolerant system to achieve a common goal. Here, multiple nodes work together to complete a task, so coordination is essential a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49fb31ee8dd817b221c540a69c3d2cbf
https://doi.org/10.1007/s11227-020-03286-y
https://doi.org/10.1007/s11227-020-03286-y
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030988494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e88d339f8f63ee21a3f393fe0e276b
https://doi.org/10.1007/978-3-030-98850-0_6
https://doi.org/10.1007/978-3-030-98850-0_6
