Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder

Advances in maritime instrumentation and measurement (I&M), particularly through the widespread adoption of automatic identification system (AIS), have significantly accelerated the development of intelligent situational awareness systems (ISAS). As a critical component of ISAS, cooperative navi...

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Veröffentlicht in:	Reliability engineering & system safety Jg. 267; S. 111885
Hauptverfasser:	Jiang, Junhao, Zuo, Yi, Li, Zhiyuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2026
Schlagworte:	Conditional variational autoencoder Cooperative intention constructor Graph convolutional network Intelligent situational awareness systems Multi-modal interaction extractor Trajectory prediction Conditional variational autoencoder Trajectory prediction Graph convolutional network Intelligent situational awareness systems Cooperative intention constructor Multi-modal interaction extractor
ISSN:	0951-8320
Online-Zugang:	Volltext
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