Modeling and simulation of a double DQN algorithm for dynamic obstacle avoidance in autonomous vehicle navigation-Reference-Cited by-同舟云学术

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

Published:2024-06 Issue: Volume:8 Page:100581
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Sivayazi Kappagantula^ORCID,Mannayee Giriraj

Publisher

Elsevier BV

Reference83 articles.

1. Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning;You;Rob. Auton. Syst.,2019

2. Hybrid power management for fuel cell/supercapacitor series hybrid electric vehicle;S.Veerendra;Int. J. Green. Energy,2021

3. On the future of transportation in an era of automated and autonomous vehicles;Hancock;Proc. Natl. Acad. Sci. u S. a,2019

4. Obstacle avoidance planning of autonomous vehicles using deep reinforcement learning;Qian;Adv. Mech. Eng.,2022

5. Energy management control strategies for energy storage systems of hybrid electric vehicle: A review;S.Veerendra;Energy Storage,2024

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