Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships-Reference-Cited by-同舟云学术

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Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships

Published:2023-03-17 Issue:3 Volume:11 Page:635
ISSN:2077-1312
Container-title:Journal of Marine Science and Engineering
language:en
Short-container-title:JMSE

Author:

Wen Yuanqiao¹²,Hahn Axel³^ORCID,Valdez Banda Osiris⁴,Huang Yamin¹²^ORCID

Affiliation:

1. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China

2. National Engineering Research Center Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China

3. Carl von Ossietzky Universität Oldenburg, German Aerospace Center, 26121 Oldenburg, Germany

4. Marine Technology, Department of Mechanical Engineering, Aalto University, 02150 Espoo, Finland

Abstract

This Special Issue, “Data-/Knowledge-Driven Behavior Analysis of Maritime Autonomous Surface Ships”, includes twelve contributions [...]

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Link

https://www.mdpi.com/2077-1312/11/3/635/pdf

Reference12 articles.

1. Song, L., Shi, X., Sun, H., Xu, K., and Huang, L. (2021). Collision Avoidance Algorithm for USV Based on Rolling Obstacle Classification and Fuzzy Rules. J. Mar. Sci. Eng., 9.

2. Chen, Q., Xiao, C., Wen, Y., Tao, M., and Zhan, W. (2022). Ship Intention Prediction at Intersections Based on Vision and Bayesian Framework. J. Mar. Sci. Eng., 10.

3. Du, L., Banda, O.A.V., and Sui, Z. (2022). Available-Maneuvering-Margins-Based Ship Collision Alert System. J. Mar. Sci. Eng., 10.

4. Gu, S., Zhou, C., Wen, Y., Xiao, C., and Knoll, A. (2022). Motion Planning for an Unmanned Surface Vehicle with Wind and Current Effects. J. Mar. Sci. Eng., 10.

5. Guo, T., and Xie, L. (2022). Research on Ship Trajectory Classification Based on a Deep Convolutional Neural Network. J. Mar. Sci. Eng., 10.

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