Modeling and simulation of a double DQN algorithm for dynamic obstacle avoidance in autonomous vehicle navigation

Developing an autonomous vehicle in safe navigated open environments through self-learning is a formidable challenge. So, in this paper, an autonomous navigation implementation for urban environments with dynamic obstacles using a double DQN algorithm is proposed. Furthermore, the vehicle is trained...

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Bibliographic Details

Published in:	e-Prime: Advances in Electrical Engineering, Electronics and Energy
Main Authors:	Kappagantula Sivayazi, Giriraj Mannayee
Format:	Article
Language:	English
Published:	Elsevier 2024-06-01
Subjects:	Dynamic obstacle avoidance Autonomous vehicle DDQN Algorithm Reinforcement learning CARLA
Online Access:	http://www.sciencedirect.com/science/article/pii/S277267112400161X