Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Borkowski, Piotr
2017.
Inference Engine in an Intelligent Ship Course-Keeping System.
Computational Intelligence and Neuroscience,
Vol. 2017,
Issue. ,
p.
1.
Mladineo, Nenad
Mladineo, Marko
and
Knezic, Snjezana
2017.
Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea.
Journal of Navigation,
Vol. 70,
Issue. 6,
p.
1312.
Borkowski, Piotr
2017.
The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion.
Sensors,
Vol. 17,
Issue. 6,
p.
1432.
Jajac, Nikša
Kilić, Jelena
and
Rogulj, Katarina
2018.
An Integral Approach to Sustainable Decision-Making within Maritime Spatial Planning—A DSC for the Planning of Anchorages on the Island of Šolta, Croatia.
Sustainability,
Vol. 11,
Issue. 1,
p.
104.
Szlapczynski, Rafal
Krata, Przemyslaw
and
Szlapczynska, Joanna
2018.
Ship domain applied to determining distances for collision avoidance manoeuvres in give-way situations.
Ocean Engineering,
Vol. 165,
Issue. ,
p.
43.
Szlapczynski, Rafal
and
Krata, Przemyslaw
2018.
Determining and visualizing safe motion parameters of a ship navigating in severe weather conditions.
Ocean Engineering,
Vol. 158,
Issue. ,
p.
263.
Szłapczyński, Rafał
and
Niksa-Rynkiewicz, Tacjana
2018.
A Framework of A Ship Domain-Based Near-Miss Detection Method Using Mamdani Neuro-Fuzzy Classification.
Polish Maritime Research,
Vol. 25,
Issue. s1,
p.
14.
Ożoga, Bartosz
and
Montewka, Jakub
2018.
Towards a decision support system for maritime navigation on heavily trafficked basins.
Ocean Engineering,
Vol. 159,
Issue. ,
p.
88.
Ozturk, Ulku
and
Cicek, Kadir
2019.
Individual collision risk assessment in ship navigation: A systematic literature review.
Ocean Engineering,
Vol. 180,
Issue. ,
p.
130.
Xue, Jie
Van Gelder, P.H.A.J.M.
Reniers, Genserik
Papadimitriou, Eleonora
and
Wu, Chaozhong
2019.
Multi-attribute decision-making method for prioritizing maritime traffic safety influencing factors of autonomous ships’ maneuvering decisions using grey and fuzzy theories.
Safety Science,
Vol. 120,
Issue. ,
p.
323.
Stateczny, Andrzej
Kazimierski, Witold
Burdziakowski, Paweł
Motyl, Weronika
and
Wisniewska, Marta
2019.
Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation.
ISPRS International Journal of Geo-Information,
Vol. 8,
Issue. 2,
p.
80.
Gil, Mateusz
Wróbel, Krzysztof
and
Montewka, Jakub
2019.
Toward a Method Evaluating Control Actions in STPA-Based Model of Ship-Ship Collision Avoidance Process.
Journal of Offshore Mechanics and Arctic Engineering,
Vol. 141,
Issue. 5,
Bakdi, Azzeddine
Glad, Ingrid Kristine
Vanem, Erik
and
Engelhardtsen, Øystein
2019.
AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain.
Journal of Marine Science and Engineering,
Vol. 8,
Issue. 1,
p.
5.
Argüelles, Reyes Poo
Maza, Jesús A. García
and
Martín, Felipe Mateos
2019.
Specification and Design of Safety Functions for the Prevention of Ship-to-Ship Collisions on the High Seas.
Journal of Navigation,
Vol. 72,
Issue. 1,
p.
53.
Ozturk, Ulku
Birbil, S. Ilker
and
Cicek, Kadir
2019.
Evaluating navigational risk of port approach manoeuvrings with expert assessments and machine learning.
Ocean Engineering,
Vol. 192,
Issue. ,
p.
106558.
Karbowska-Chilinska, Joanna
Koszelew, Jolanta
Ostrowski, Krzysztof
Kuczynski, Piotr
Kulbiej, Eric
and
Wolejsza, Piotr
2019.
Beam Search Algorithm for Ship Anti-Collision Trajectory Planning.
Sensors,
Vol. 19,
Issue. 24,
p.
5338.
Bošnjak, Rino
Kezić, Danko
Vidan, Pero
and
Kavran, Zvonko
2019.
COLLISION PREVENTION IN SINGAPORE STRAIT BY USING TIMED PETRI NET.
Transport,
Vol. 35,
Issue. 3,
p.
273.
Shi, Jia-hui
and
Liu, Zheng-jiang
2020.
Deep Learning in Unmanned Surface Vehicles Collision-Avoidance Pattern Based on AIS Big Data with Double GRU-RNN.
Journal of Marine Science and Engineering,
Vol. 8,
Issue. 9,
p.
682.
Gao, Miao
and
Shi, Guo-You
2020.
Ship collision avoidance anthropomorphic decision-making for structured learning based on AIS with Seq-CGAN.
Ocean Engineering,
Vol. 217,
Issue. ,
p.
107922.
Miciuła, Ireneusz
Stępień, Paweł
and
Zakrzewska, Małgorzata
2020.
Model of the geospatial situation of the decision support system for automatic determination of inland vessel movement.
Procedia Computer Science,
Vol. 176,
Issue. ,
p.
3153.