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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Published in | Applied soft computing Vol. 115; p. 108194 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.01.2022
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Subjects | |
Online Access | Get full text |
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