A novel maritime autonomous navigation decision-making system: Modeling, integration, and real ship trial-Reference-Cited by-同舟云学术

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A novel maritime autonomous navigation decision-making system: Modeling, integration, and real ship trial

Published:2023-07 Issue: Volume:222 Page:119825
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Shaobo^ORCID,Zhang Yingjun,Zhang Xiuguo^ORCID,Gao Zongjiang

Funder

Foundation for the Author of National Excellent Doctoral Dissertation of PR China

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference82 articles.

1. Collaborative collision avoidance for Maritime Autonomous Surface Ships: A review;Akdağ;Ocean Engineering,2022

2. Causal factors in accidents of high-speed craft and conventional ocean-going vessels;Antão;Reliability Engineering and System Safety,2008

3. Testbed scenario design exploiting traffic big data for autonomous ship trials under multiple conflicts with collision/grounding risks and spatio-temporal dependencies;Bakdi;IEEE Transactions on Intelligent Transportation Systems,2021

4. Fullest COLREGs evaluation using fuzzy logic for collaborative decision-making analysis of autonomous ships in complex situations;Bakdi;IEEE Transactions on Intelligent Transportation Systems,2022

5. Experimental testing and simulations of an autonomous, self-propulsion and self-measuring tanker ship model;Bassam;Ocean Engineering,2019

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1. Generation and complexity analysis of ship encounter scenarios using AIS data for collision avoidance algorithm testing;Ocean Engineering;2024-11

2. A human-like collision avoidance method for USVs based on deep reinforcement learning and velocity obstacle;Expert Systems with Applications;2024-11

3. Intelligent ship collision avoidance in maritime field: A bibliometric and systematic review;Expert Systems with Applications;2024-10

4. A Red Teaming Framework for Securing AI in Maritime Autonomous Systems;Applied Artificial Intelligence;2024-09-04

5. Research on Service-Level Evaluation Method of Inland Waterways Based on Maximum Queue Length Prediction;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2024-09

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