Research on Autonomous Navigation Control of Unmanned Ship Based on Unity3D

被引：0
|
作者：
Yang, Jie [1 ]
Liu, Lang [1 ]
Zhang, Qingnian [1 ]
Liu, Chong [1 ]
机构：
[1] Wuhan Univ Technol, Minist Educ, Key Lab Fiber Opt Sensing Technol & Informat Proc, Wuhan, Peoples R China
来源：
CONFERENCE PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR) | 2019年
基金：
中国国家自然科学基金;
关键词：
virtual reality; Unity3D; deep reinforcement learning; autonomous navigation;
D O I：
10.1109/iccar.2019.8813722
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：422 / 426
页数：5
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