A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning

A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning

The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. To avoid collision with pedestrians, the vehicle requires the ability to communicate with a pedestrian to understand their actions. The most challengin...

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Bibliographic Details
Main Authors: Muhammad Shoaib Farooq, Haris Khalid, Ansif Arooj, Tariq Umer, Aamer Bilal Asghar, Jawad Rasheed, Raed M. Shubair, Amani Yahyaoui
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Entropy
Subjects:
deep learning
advanced driving system
neural network
autonomous vehicle
intelligent driving system
reinforcement learning
Online Access:https://www.mdpi.com/1099-4300/25/1/135

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