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Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships
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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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Keywords
- AIS
- AIS Data
- autonomous ship
- available maneuvering margins (AMM)
- Bayesian framework
- Clustering
- cognitive space
- collision alert system (CAS)
- collision avoidance
- COLREGs
- complex waters
- deduction of the manoeuvring process
- deep convolutional neural network
- deep learning
- detection and tracking
- effects of wind and current
- execution
- formal expression
- fuzzy rules
- gate recurrent unit
- hazard identification
- History of engineering & technology
- hybrid causal logic
- information perception
- inland waterway transportation
- intelligent decision-making
- intersection
- maritime autonomous surface ships
- maritime safety
- mixed waterborne traffic
- morphological operation
- Motion Planning
- multi-scale analysis
- multi-sensor
- n/a
- obstacles classification
- Ontology
- preliminary hazard analysis
- RANSAC
- regularization-trajectory cell
- Risk assessment
- semantic modeling
- ship autonomy
- ship behavior
- ship domain
- ship exhaust behavior
- ship intention identification
- ship manoeuvrability
- ship object
- ship stability
- ship traffic flow
- spatiotemporal dependence
- Technology, engineering, agriculture
- Technology: general issues
- trajectory classification
- Transport technology & trades
- unmanned surface vehicle
- unmanned surface vehicle (USV)
- velocity obstacle
- YOLO
Links
DOI: 10.3390/books978-3-0365-7442-4Editions