15.3.3.7.5 Collision Avoidance, Collision Detection, Marine Vessels, Ships

Chapter Contents (Back)
Collision Detection. Collision Avoidance.
See also Traffic Surveillance, Analysis of Traffic.

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.
DOI Link 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.
DOI Link 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 .


Last update:Mar 25, 2024 at 16:07:51