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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2024-06-01
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| Serie: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S277267112400161X |
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