XAI in hindsight: Shapley values for explaining prediction accuracy DOI Creative Commons
Andreas Brandsæter, Ingrid K. Glad

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126845 - 126845

Опубликована: Фев. 1, 2025

Язык: Английский

Investigation into safety acceptance principles for autonomous ships DOI Creative Commons
Victor Bolbot, Martin Bergström,

Marko Rahikainen

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110810 - 110810

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Trends of digitalization, intelligence and greening of global shipping industry based on CiteSpace Knowledge Graph DOI
Jihong Chen,

Xitao Zhang,

Lang Xu

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 255, С. 107206 - 107206

Опубликована: Июнь 14, 2024

Язык: Английский

Процитировано

9

A risk assessment of an autonomous navigation system for a maritime autonomous surface ship DOI Creative Commons
Aleksi Laakso, Meriam Chaal, Osiris A. Valdez Banda

и другие.

Journal of Marine Engineering & Technology, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Янв. 31, 2025

thorough reformation in multiple domains, one of which is ship navigation and operation. Significant efforts have recently been targeted towards the research development

Язык: Английский

Процитировано

1

Enhanced Risk Assessment Framework for Complex Maritime Traffic Systems via Data Driven: A Case Study of Ship Navigation in Arctic DOI
Shenping Hu, C. Fang, Jian Wu

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110991 - 110991

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Supporting human supervision in autonomous collision avoidance through agent transparency DOI Creative Commons
Koen van de Merwe, Steven Mallam, Salman Nazir

и другие.

Safety Science, Год журнала: 2023, Номер 169, С. 106329 - 106329

Опубликована: Сен. 30, 2023

Ongoing trends in society point towards the adoption of intelligent agents across safety critical industries. In maritime domain, artificially may soon be capable autonomously performing collision and grounding avoidance (CAGA); a task traditionally performed by humans. Consequently, role humans is anticipated to change from those supervising an agent avoidance. One key concerns with regards human factors avoiding out-of-the-loop performance problem where lose situation awareness (SA) become susceptible misinterpreting agent's decisions planned actions. Despite previous research addressing autonomous shipping remote control, few studies have focused on how support humans' mental processes this new role. Therefore, study goal-directed analysis goals, decisions, SA requirements for human-supervised Data was obtained situ observations interviews nine navigators onboard passenger ferries, appraisal regulations, relevant company documentation. The identified specific make agents, avoidance, transparent their users. results further indicate increased cognitive activities required verify performance. providing insight into agents' internal reasoning actions becomes consideration supporting future supervisors. Given application behaviour, anticipates that transparency essential prerequisite safe effective human-autonomy system oversight.

Язык: Английский

Процитировано

14

A comprehensive review of Maritime Bibliometric Studies (2014–2024) DOI

Andro Dragović,

Nenad Zrnić, Branislav Dragović

и другие.

Ocean Engineering, Год журнала: 2024, Номер 311, С. 118917 - 118917

Опубликована: Авг. 22, 2024

Язык: Английский

Процитировано

5

Contemplating Maritime Autonomous Surface Ships (MASS) under the international law on ship-source pollution DOI Creative Commons
Wangwang Xing

Marine Pollution Bulletin, Год журнала: 2024, Номер 207, С. 116884 - 116884

Опубликована: Сен. 7, 2024

Язык: Английский

Процитировано

5

Small Unmanned Surface Vessels—A Review and Critical Analysis of Relations to Safety and Safety Assurance of Larger Autonomous Ships DOI Creative Commons
Victor Bolbot,

Andrei Sandru,

Ture Saarniniemi

и другие.

Journal of Marine Science and Engineering, Год журнала: 2023, Номер 11(12), С. 2387 - 2387

Опубликована: Дек. 18, 2023

Autonomous ships represent an emerging paradigm within the maritime sector, poised to bring multiple advantages. Although numerous prototypes have been developed, deployment of large autonomous has predominantly remained confined domestic waters or specialized military applications. The extensive adoption is hampered by several challenges, primarily centered around safety. However, direct assessment technologies on large-scale vessels can be very costly. Small-scale autonomy testing may provide a cheaper option. This study reviews current small ship models used researchers and industry practitioners. It aims evaluate how these currently augment safety assurances larger ships. review identifies relevant Unmanned Surface Vessels (USVs), main research groups behind them their Then, use USVs for assurance analyzed. Finally, paper suggests innovative strategies directions using

Язык: Английский

Процитировано

10

Indicator designing for performance evaluation of collision avoidance algorithms programs on autonomous ships DOI
Zhengyu Zhou, Yingjun Zhang, Yiyang Zou

и другие.

Ocean Engineering, Год журнала: 2024, Номер 295, С. 116810 - 116810

Опубликована: Фев. 5, 2024

Язык: Английский

Процитировано

4

Trust in Automation (TiA): Simulation Model, and Empirical Findings in Supervisory Control of Maritime Autonomous Surface Ships (MASS) DOI Creative Commons

Mehdi Poornikoo,

William Gyldensten, Boban Vesin

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 28

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

3