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Fumin Wu, Qianqian Chen, Yuanqiao Wen, Changshi Xiao and Feier Zeng
In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately. ...
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Qianqian Chen, Changshi Xiao, Yuanqiao Wen, Mengwei Tao and Wenqiang Zhan
Due to the high error frequency of the existing methods in identifying a ship?s navigational intention, accidents frequently occur at intersections. Therefore, it is urgent to improve the ability to perceive ship intention at intersections. In this paper...
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Shangding Gu, Chunhui Zhou, Yuanqiao Wen, Changshi Xiao and Alois Knoll
Aiming at the problem that unmanned surface vehicle (USV) motion planning is disturbed by effects of wind and current, a USV motion planning method based on regularization-trajectory cells is proposed. First, a USV motion mathematical model is establishe...
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Hualong Chen, Yuanqiao Wen, Man Zhu, Yamin Huang, Changshi Xiao, Tao Wei and Axel Hahn
Autonomy is the core capability of future systems, and architecture design is one of the critical issues in system development and implementation. To discuss the architecture of autonomous systems in the future, this paper reviews the developing progress...
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Xiong Zou, Wenqiang Zhan, Changshi Xiao, Chunhui Zhou, Qianqian Chen, Tiantian Yang and Xin Liu
The demand for non-powered facility towing is increasing with the development of large-scale offshore projects. It is of great interest for its safe operation to measure the state of the towing process in real time. This paper proposed a computer vision ...
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Yuanqiao Wen, Yimeng Zhang, Liang Huang, Chunhui Zhou, Changshi Xiao, Fan Zhang, Xin Peng, Wenqiang Zhan and Zhongyi Sui
Recognizing ship behavior is important for maritime situation awareness and intelligent transportation management. Some scholars extracted ship behaviors from massive trajectory data by statistical analysis. However, the meaning of the behaviors, i.e., s...
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Ricles, James M.; Mao, Changshi; Lu, Le-Wu; Fisher, John W.
Pág. 429 - 440
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Mao, Changshi; Ricles, James; Lu, Le-Wu; Fisher, John
Pág. 1036 - 1044
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