Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships

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Tác giả: Axel Hahn, Yamin Huang, Osiris Valdez Banda, Yuanqiao Wen

Ngôn ngữ: eng

ISBN-13: 978-3036574424

ISBN-13: 978-3036574431

ISBN: books978-3-0365-7442-4

Ký hiệu phân loại:

Thông tin xuất bản: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023

Mô tả vật lý: 1 electronic resource (262 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 376863

Maritime traffic data (e.g., radar data, AIS data, and CCTV data) provide designers, officers on watch, and traffic operators with extensive information about the states of ships at present and in history, representing a treasure trove for behavior analysis. Additionally, navigation rules and regulations (i.e., knowledge) offer valuable prior knowledge about ship manners at sea. Combining multisource heterogeneous big data and artificial intelligence techniques inspires innovative and important means for the development of MASS. This reprint collects twelve contributions published in "Data-/Knowledge-Driven Behavior Analysis of Maritime Autonomous Surface Ships" Special Issue during 2021-2022, aiming to provide new views on data-/knowledge-driven analytical tools for maritime autonomous surface ships, including data-driven behavior modeling, knowledge-driven behavior modeling, multisource heterogeneous traffic data fusion, risk analysis and management of MASS, etc.
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