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Research on Autonomous Navigation Control of Unmanned Ship Based on Unity3D

机译:基于Unity3D的无人舰船自主导航控制研究

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In order to study the state of autonomous piloting of unmanned ship in different terrains, based on the Unity3D game engine software, the ship piloting simulation of the sea surface and the inland river scene is designed respectively. The autonomous navigation control of unmanned ships is implemented using a deep reinforcement learning algorithm, so as to enable the unmanned ship to improve the adaptability under the complicated and variable real-time simulation conditions, and constantly improve and optimize through machine reinforcement learning. Finally, the simulation results show that the unmanned ship can successfully avoid obstacles and reach the destination in a complex environment on the simulation platform based on Unity3D.
机译:为了研究不同地形下无人驾驶船舶的自主航行状态,基于Unity3D游戏引擎软件,分别设计了海面和内河场景的船舶操纵仿真。无人机的自主导航控制采用深度强化学习算法来实现,以使无人机在复杂多变的实时仿真条件下能够提高适应性,并通过机器强化学习不断进行改进和优化。最后,仿真结果表明,在基于Unity3D的仿真平台上,无人驾驶船能够在复杂的环境中成功避开障碍物并到达目的地。

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