Multiple vehicle cooperation and collision avoidance in automated vehicles : Survey and an AI‑enabled conceptual framework

Multiple vehicle cooperation and collision avoidance in automated vehicles : Survey and an AI‑enabled conceptual framework

Prospective customers are becoming more concerned about safety and comfort as the automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation of recent AVs collision data indicates that modern automated driving systems are prone to rear-end collisions, usually leading to m...

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Bibliographic Details
Main Authors: Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md Arafatur, Murad, Saydul Akbar, Kamal, Md Abdus Samad, Alenezi, Ali H.
Format: Article
Language:English
Published: Nature Research 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/37568/1/Multiple%20vehicle%20cooperation%20and%20collision%20avoidance%20in%20automated%20vehicles_survey%20and%20an%20AI-enabled.pdf

Internet

http://umpir.ump.edu.my/id/eprint/37568/1/Multiple%20vehicle%20cooperation%20and%20collision%20avoidance%20in%20automated%20vehicles_survey%20and%20an%20AI-enabled.pdf

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