Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hajar Qahmash"'
Autor:
Heba Kurdi, Shaden Almuhalhel, Hebah Elgibreen, Hajar Qahmash, Bayan Albatati, Lubna Al-Salem, Ghada Almoaiqel
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4644 (2021)
With the extensive developments in autonomous vehicles (AV) and the increase of interest in artificial intelligence (AI), path planning is becoming a focal area of research. However, path planning is an NP-hard problem and its execution time and comp
Externí odkaz:
https://doaj.org/article/bb742d771005433da6ca25fb3a276992
Autor:
Hebah Elgibreen, Bayan Albatati, Hajar Qahmash, Lubna Al-Salem, Heba Kurdi, Shaden Almuhalhel, Ghada Almoaiqel
Publikováno v:
Remote Sensing, Vol 13, Iss 4644, p 4644 (2021)
Remote Sensing; Volume 13; Issue 22; Pages: 4644
Remote Sensing; Volume 13; Issue 22; Pages: 4644
With the extensive developments in autonomous vehicles (AV) and the increase of interest in artificial intelligence (AI), path planning is becoming a focal area of research. However, path planning is an NP-hard problem and its execution time and comp
Autor:
Kurdi, Heba1,2 (AUTHOR) 435201535@student.ksu.edu.sa, Almuhalhel, Shaden1 (AUTHOR) Qahmash.Hajar@Gmail.com, Elgibreen, Hebah2,3,4 (AUTHOR), Qahmash, Hajar1 (AUTHOR) albatati.bayan@gmail.com, Albatati, Bayan1 (AUTHOR) binsalem.lubna@gmail.com, Al-Salem, Lubna1 (AUTHOR) galmoaiqel@gmail.com, Almoaiqel, Ghada1 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2021, Vol. 13 Issue 22, p4644-4644. 1p.