DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles

DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles

Abstract Following the successful development of advanced driver assistance systems (ADAS), the current research directions focus on highely automated vehicles aiming at reducing human driving tasks, and extending the operational design domain, while maintaining a higher level of safety. Currently,...

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Bibliographic Details
Main Authors: Mahdi Bonyani, Mina Rahmanian, Simindokht Jahangard, Mahdi Rezaei
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:IET Intelligent Transport Systems
Subjects:
autonomous vehicles
deep neural networks
driver behavior
driving intention
long short‐term memory
operational design domain
Online Access:https://doi.org/10.1049/itr2.12370

Internet

https://doi.org/10.1049/itr2.12370

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