A novel ship trajectory reconstruction approach using AIS data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A novel ship trajectory reconstruction approach using AIS data

Published:2018-07 Issue: Volume:159 Page:165-174
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Zhang Liye,Meng Qiang,Xiao Zhe,Fu Xiuju

Funder

Agency for Science, Technology and Research

Fujitsu Limited as part of the A*STAR-Fujitsu-SMU Urban Computing

Engineering Centre of Excellence

Impact Analysis of Large Ships on Ship Traffic in the Straits of Malacca and Singapore

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference27 articles.

1. On the estimation of the design loads on container stacks due to excessive acceleration in adverse weather conditions;Acanfora;Mar. Struct.,2017

2. The ship movement trajectory prediction algorithm using navigational data fusion;Borkowski;Sensors,2017

3. Algorithms for smoothing data with periodic and parametric splines;Dierckx;Comput. Graph. Image Process,1982

4. Automatic identification system (AIS): data reliability and human error implications;Harati-Mokhtari;J. Navig.,2007

5. A car test for the estimation of GPS/INS alignment errors;Hong;IEEE Trans. Intell. Transp. Syst.,2004

Cited by 107 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study of ship entrance delays to deep draft channels;Ocean Engineering;2024-11

2. An open-source framework for data-driven trajectory extraction from AIS data—The α-method;Ocean Engineering;2024-11

3. Benchmarking feed-forward randomized neural networks for vessel trajectory prediction;Computers and Electrical Engineering;2024-10

4. A novel ship trajectory reconstruction approach based on low-rank tensor completion;Ocean Engineering;2024-10

5. Navigational risk assessment of inland waters based on bi-directional PSO-LSTM algorithm and ship maneuvering characteristics;Ocean Engineering;2024-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3