Jimenez Ruiz, A.R.,
Seco Granja, F.,
A Short-Range Ship Navigation System Based on Ladar Imaging and Target
Tracking for Improved Safety and Efficiency,
ITS(10), No. 1, March 2009, pp. 186-197.
IEEE DOI
0903
BibRef
Johansen, T.A.,
Perez, T.,
Cristofaro, A.,
Ship Collision Avoidance and COLREGS Compliance Using
Simulation-Based Control Behavior Selection With Predictive Hazard
Assessment,
ITS(17), No. 12, December 2016, pp. 3407-3422.
IEEE DOI
1612
Collision avoidance
BibRef
Li, Y.S.[Yi-Shan],
Guo, Z.Q.[Zhi-Qiang],
Yang, J.[Jie],
Fang, H.[Hui],
Hu, Y.[Yongwu],
Prediction of ship collision risk based on CART,
IET-ITS(12), No. 10, December 2018, pp. 1345-1350.
DOI Link
1812
BibRef
Lisowski, J.[Józef],
Mohamed-Seghir, M.[Mostefa],
Comparison of Computational Intelligence Methods Based on Fuzzy Sets
and Game Theory in the Synthesis of Safe Ship Control Based on
Information from a Radar ARPA System,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Park, B.S.,
Yoo, S.J.,
An Error Transformation Approach for Connectivity-Preserving and
Collision-Avoiding Formation Tracking of Networked Uncertain
Underactuated Surface Vessels,
Cyber(49), No. 8, August 2019, pp. 2955-2966.
IEEE DOI
1905
Collision avoidance, Heuristic algorithms, Switches, Topology,
Lyapunov methods, Surges, Cybernetics, Collision avoidance,
underactuated surface vessels (USVs)
BibRef
Fang, Z.,
Yu, H.,
Ke, R.,
Shaw, S.,
Peng, G.,
Automatic Identification System-Based Approach for Assessing the
Near-Miss Collision Risk Dynamics of Ships in Ports,
ITS(20), No. 2, February 2019, pp. 534-543.
IEEE DOI
1902
Marine vehicles, Accidents, Artificial intelligence, Estimation,
Mathematical model, Risk analysis, Oceans, Geospatial analysis,
time series analysis
BibRef
Pedrielli, G.,
Xing, Y.,
Peh, J.H.,
Koh, K.W.,
Ng, S.H.,
A Real Time Simulation Optimization Framework for Vessel Collision
Avoidance and the Case of Singapore Strait,
ITS(21), No. 3, March 2020, pp. 1204-1215.
IEEE DOI
2003
Collision avoidance, agent based modeling,
meta-model based simulation optimization, multi-objective optimization
BibRef
Lazarowska, A.[Agnieszka],
Review of Collision Avoidance and Path Planning Methods for Ships
Utilizing Radar Remote Sensing,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Czaplewski, K.[Krzysztof],
Swierczynski, S.[Slawomir],
A Method of Increasing the Accuracy of Radar Distance Measurement in
VTS Systems for Vessels with Very Large Dimensions,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
Vessel Traffic System.
BibRef
Lisowski, J.[Józef],
Review of Ship Collision Avoidance Guidance Algorithms Using Remote
Sensing and Game Control,
RS(14), No. 19, 2022, pp. xx-yy.
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2210
BibRef
Cho, Y.[Yonghoon],
Han, J.[Jungwook],
Kim, J.[Jinwhan],
Efficient COLREG-Compliant Collision Avoidance in Multi-Ship
Encounter Situations,
ITS(23), No. 3, March 2022, pp. 1899-1911.
IEEE DOI
2203
Marine vehicles, Collision avoidance, Prediction algorithms,
Regulation, Probabilistic logic, Safety, Navigation,
multi-ship encounter situation
BibRef
Tengesdal, T.[Trym],
Johansen, T.A.[Tor A.],
Brekke, E.F.[Edmund F.],
Ship Collision Avoidance Utilizing the Cross-Entropy Method for
Collision Risk Assessment,
ITS(23), No. 8, August 2022, pp. 11148-11161.
IEEE DOI
2208
Uncertainty, Estimation, Marine vehicles, Probabilistic logic,
Trajectory, Safety, Risk management, Maritime collision avoidance,
collision risk
BibRef
Zhao, L.[Liangbin],
Fu, X.J.[Xiu-Ju],
A Method for Correcting the Closest Point of Approach Index During
Vessel Encounters Based on Dimension Data From AIS,
ITS(23), No. 8, August 2022, pp. 13745-13757.
IEEE DOI
2208
Marine vehicles, Indexes, Artificial intelligence, Navigation,
Risk management, Mathematical models, Uncertainty,
automatic identification system
BibRef
Hammedi, W.[Wided],
Brik, B.[Bouziane],
Senouci, S.M.[Sidi Mohammed],
Toward Optimal MEC-Based Collision Avoidance System for Cooperative
Inland Vessels: A Federated Deep Learning Approach,
ITS(24), No. 2, February 2023, pp. 2525-2537.
IEEE DOI
2302
Marine vehicles, Collision avoidance, Rivers, Blockchains,
Navigation, Real-time systems, Water transportation systems,
consortium blockchain
BibRef
Lisowski, J.[Józef],
Artificial Intelligence Methods in Safe Ship Control Based on Marine
Environment Remote Sensing,
RS(15), No. 1, 2023, pp. xx-yy.
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2301
BibRef
Djenouri, Y.[Youcef],
Belhadi, A.[Asma],
Djenouri, D.[Djamel],
Srivastava, G.[Gautam],
Lin, J.C.W.[Jerry Chun-Wei],
Intelligent Deep Fusion Network for Anomaly Identification in
Maritime Transportation Systems,
ITS(24), No. 2, February 2023, pp. 2392-2400.
IEEE DOI
2302
Data models, Convolutional neural networks, Anomaly detection,
Transportation, Deep learning, Urban areas, Training,
smart and secure transportation systems
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Obstacles, Objects on the Road Using Radar, Sonar, LiDAR, Active Vision .