دورية أكاديمية

Hybrid Navigation Acceptability and Safety

التفاصيل البيبلوغرافية
العنوان: Hybrid Navigation Acceptability and Safety
المؤلفون: Clement, Benoit, Dubromel, Marie, Santos, Paulo E., Sammut, Karl, Oppert, Michelle, Dayoub, Feras
المصدر: Proceedings of the AAAI Symposium Series; Vol. 2 No. 1: Proceedings of the 2023 AAAI Fall Symposia; 11-17 ; 2994-4317
بيانات النشر: AAAI Press
سنة النشر: 2024
المجموعة: Association for the Advancement of Artificial Intelligence: AAAI Publications
مصطلحات موضوعية: Colregs, Readability Of Human Scale, Path Planning, Human Acceptability, Situation Awareness
الوصف: Autonomous vessels have emerged as a prominent and accepted solution, particularly in the naval defence sector. However, achieving full autonomy for marine vessels demands the development of robust and reliable control and guidance systems that can handle various encounters with manned and unmanned vessels while operating effectively under diverse weather and sea conditions. A significant challenge in this pursuit is ensuring the autonomous vessels' compliance with the International Regulations for Preventing Collisions at Sea (COLREGs). These regulations present a formidable hurdle for the human-level understanding by an autonomous systems as they were originally designed from common navigation practices created since the mid-19th century. Their ambiguous language assumes experienced sailors' interpretation and execution and, therefore, demands a high-level (cognitive) understanding of language and agent intentions that are beyond the capabilities of current state-of-the-art of intelligent system. This position paper highlights the critical requirement of a trustworthy control and guidance system and explores the complexities of adapting COLREGs for safe vessel-on-vessel encounters considering autonomous maritime technology competing and/or cooperating with manned vessels.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://ojs.aaai.org/index.php/AAAI-SS/article/view/27643/27416Test; https://ojs.aaai.org/index.php/AAAI-SS/article/view/27643Test
DOI: 10.1609/aaaiss.v2i1.27643
الإتاحة: https://doi.org/10.1609/aaaiss.v2i1.27643Test
https://ojs.aaai.org/index.php/AAAI-SS/article/view/27643Test
حقوق: Copyright (c) 2023 Association for the Advancement of Artificial Intelligence
رقم الانضمام: edsbas.2006DC10
قاعدة البيانات: BASE