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Cheng Chen, Xiangrui Zhang, Guo Wang, Feng Feng, Cong Sun and Qin He
The inherent complexity of large ships makes it challenging to evaluate ship designs systematically and scientifically. Knowledge-based expert systems can be reasonable solutions. However, this problem needs more rationality and better operability, espec...
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Guocheng Zhang, Jixiao Liu, Yushan Sun, Xiangrui Ran and Puxin Chai
This paper aims to focus on the path planning problem of AUV in the marine environment. As well as considering the path length and safe obstacle avoidance, ocean currents should not be ignored as the main factor affecting the navigation energy consumptio...
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Yushan Sun, Xiaokun Luo, Xiangrui Ran and Guocheng Zhang
This research aims to solve the safe navigation problem of autonomous underwater vehicles (AUVs) in deep ocean, which is a complex and changeable environment with various mountains. When an AUV reaches the deep sea navigation, it encounters many underwat...
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Yushan Sun, Xiangrui Ran, Guocheng Zhang, Hao Xu and Xiangbin Wang
This study proposed the 3D path planning of an autonomous underwater vehicle (AUV) by using the hierarchical deep Q network (HDQN) combined with the prioritized experience replay. The path planning task was divided into three layers, which realized the d...
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Feiyang Chen, Ying Jiang, Xiangrui Zeng, Jing Zhang, Xin Gao and Min Xu
Salient segmentation is a critical step in biomedical image analysis, aiming to cut out regions that are most interesting to humans. Recently, supervised methods have achieved promising results in biomedical areas, but they depend on annotated training d...
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Yushan Sun, Chenming Zhang, Guocheng Zhang, Hao Xu and Xiangrui Ran
In this paper, the three-dimensional (3D) path tracking control of an autonomous underwater vehicle (AUV) under the action of sea currents was researched. A novel reward function was proposed to improve learning ability and a disturbance observer was dev...
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