Safe and efficient maneuvering of a Maritime Autonomous Surface Ship (MASS) during encounters at sea: A novel approach
Tài liệu tham khảo
Aarset, 2022, On distributed cognition while designing an AI system for adapted learning, Front. Artif. Intell., 5, 10.3389/frai.2022.910630
Adams, S. (2014). ReVolt – next generation short sea shipping. Retrived 5 May 2022, from https://www.dnv.com/news/revolt-next-generation-short-sea-shipping-7279#.
Akdağ, 2022, Collaborative collision avoidance for Maritime Autonomous Surface Ships: a review, Ocean Eng., 250, 10.1016/j.oceaneng.2022.110920
Barredo Arrieta, 2020, Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI, Inf. Fusion, 58, 82, 10.1016/j.inffus.2019.12.012
Burmeister, 2021, Autonomous collision avoidance at sea: a survey, Front. Robot. AI, 8, 297, 10.3389/frobt.2021.739013
DB Schencker. (2022). DB schenker plans to operate a zero-emission autonomous coastal container feeder for Ekornes ASA in Norway. Retrieved September 25, 2022 from https://www.dbschenker.com/global/about/press/autonomous-vessel-norway-788212.
DNV. (2018). Autonomous and remotely operated ships (DNVGL-CG-0264). Retrived 20 September, from https://rules.dnv.com/docs/pdf/DNV/cg/2018-09/dnvgl-cg-0264.pdf.
Fiskin, 2021, Fuzzy domain and meta-heuristic algorithm-based collision avoidance control for ships: Experimental validation in virtual and real environment, Ocean Eng., 220, 10.1016/j.oceaneng.2020.108502
IMO. (2019). Convention on the international regulations for preventing collisions at sea, 1972 (COLREGs). Retrived September 2022, from https://www.imo.org/en/About/Conventions/Pages/COLREG.aspx.
IMO. (2021). Outcome of the regulatory scoping exercise for the use of Maritime Autonomous Surface Ships (MASS) MSC.1/Circ.1638. Retrived 27 August 2022, from https://wwwcdn.imo.org/localresources/en/MediaCentre/PressBriefings/Documents/MSC.1-Circ.1638%20-%20Outcome%20Of%20The%20Regulatory%20Scoping%20ExerciseFor%20The%20Use%20Of%20Maritime%20Autonomous%20Surface%20Ships...%20(Secretariat).pdf.
Kaufman, 1990
Murphy, 2012
Murray, 2021, An AIS-based deep learning framework for regional ship behavior prediction, Reliab. Eng. Syst. Saf., 215, 10.1016/j.ress.2021.107819
Perera, 2019, Possible COLREGs failures under digital helmsman of autonomous ships, 1
Rødseth, 2017, From concept to reality: Unmanned merchant ship research in Norway
Rutledal, 2020, It's not all about the COLREGs: a case-based risk study for autonomous coastal ferries, 929
Tam, 2009, Review of collision avoidance and path planning methods for ships in close range encounters, J. Navig., 62, 455, 10.1017/S0373463308005134
Wróbel, 2017, Towards the assessment of potential impact of unmanned vessels on maritime transportation safety, Reliab. Eng.Syst. Saf., 165, 155, 10.1016/j.ress.2017.03.029
Wu, 2020, Fuzzy logic based dynamic decision-making system for intelligent navigation strategy within inland traffic separation schemes, Ocean Eng., 197, 10.1016/j.oceaneng.2019.106909
Xu, 2022, Path planning and dynamic collision avoidance algorithm under COLREGs via deep reinforcement learning, Neurocomputing, 468, 181, 10.1016/j.neucom.2021.09.071
Yara International. (2022). Yara Birkeland, Yara International. Retrived 26 August, from https://www.yara.com/news-and-media/press-kits/yara-birkeland-press-kit.