Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach

Path planning is one of the most essential part in autonomous navigation. Most existing works suppose that the environment is static and fixed. However, path planning is widely used in random and dynamic environment (such as search and rescue, surveillance and other scenarios). In this paper, we pro...

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Bibliographic Details
Published inApplied soft computing Vol. 115; p. 108194
Main Authors Zhang, Sitong, Li, Yibing, Dong, Qianhui
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2022
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