Autonomous Tracking of Steel Lazy Wave Risers Using a Hybrid Vision–Acoustic AUV Framework

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Detalles Bibliográficos
Publicado en:	Journal of Marine Science and Engineering vol. 13, no. 7 (2025), p. 1347-1365
Autor principal:	Ghasemi, Ali
Otros Autores:	Hodjat, Shiri
Publicado:	MDPI AG
Materias:	Deep water Offshore Digital cameras Unmanned underwater vehicles Inspection Optimization techniques Echo sounding Image processing Tracking Localization Acoustic data Steel structures Ocean floor Autonomous underwater vehicles Steel Risers Echosounders Structural integrity Clustering Cyclic loads Algorithms Offshore production Accuracy Oscillations Deep learning Ocean bottom Underwater robots Unmanned vehicles Robotics Materials fatigue Cables Deepwater drilling Cluster analysis Numerical models Mathematical models Metal fatigue Sensors Hough transformation Underwater vehicles Underwater pipelines Vertical oscillations Fatigue life Simulators Vector quantization Edge detection Environmental
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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