Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration and Exploitation

Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment. This study proposes an online evolutionary decision-making and motion planning framework for autonomous driving based on a hybrid data- and model-driven method. First...

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Detalhes bibliográficos

Principais autores:	Kang Yuan, Yanjun Huang, Shuo Yang, Zewei Zhou, Yulei Wang, Dongpu Cao, Hong Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-02-01
coleção:	Engineering
Assuntos:	Autonomous driving Decision-making Motion planning Deep reinforcement learning Model predictive control
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2095809923002461
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