Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11846
Title: Comparative Analysis and Performance Evaluation of Underwater Cable Detection and Tracking Techniques: a Comprehensive Survey
Authors: Unal, P.
Hatipoglu, O. I.
Turker, A.
Unal, A. F.
Deveci, B. U.
Kirci, P.
Ozbayoglu, M.
Keywords: Object Detection
System
Classification
Publisher: Wiley
Abstract: This survey provides a comprehensive review of underwater cable detection and tracking literature, identifying key problem types and highlighting unique underwater challenges. It emphasizes the critical role of underwater cable detection in global communications and energy infrastructures, addressing complexities like low visibility and variable sea conditions. The analysis compares the efficacy of various models, particularly deep learning approaches like CNNs and Transformers, in adapting to underwater imagery challenges. A new roadmap for efficient cable detection and tracking systems is proposed, focusing on multimodal data integration and nonoptical detection methods. Importantly, the study includes performance evaluations of state-of-the-art models on custom underwater datasets, offering practical insights. The survey's findings are validated through an implementation of an underwater object-tracking model incorporating effective algorithms from the literature.
URI: https://doi.org/10.1155/2024/5548146
https://hdl.handle.net/20.500.11851/11846
ISSN: 2050-7038
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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