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An estimation algorithm for improved maritime obstacle detection by Amir Alaqeb, Abdelrhman Mohamed, Rashid, Muhammad Mahbubur, Mohd Zaki, Hasan Firdaus, Embong, Abd Halim

“…This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. …”
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Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection by Zainal Abidin, Zulkifli, Norazaruddin, Muhammad Aiman, Tengku Anuar, Tengku Aizat

“…Recent advancements in machine vision, particularly through Convolutional Neural Networks (CNNs), have significantly improved object detection in maritime environments. This study evaluates the performance of two leading object detection algorithms—YOLOv8 and Faster R-CNN—along with their respective variants, across two specialized maritime datasets: SeaShip and the Sea Maritime Dataset (SMD). …”
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Simulation of multi-band MIMO FMCW radar performance in detecting maritime vessels by Zainuddin, Suraya, Abdul Rashid, Nur Emileen, Ibrahim, Idnin Pasya, Raja Abdullah, Raja Syamsul Azmir

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Parameter estimation of K-distributed sea clutter based on fuzzy inference and Gustafson-Kessel clustering by Davari, Atefeh, Marhaban, Mohammad Hamiruce, Mohd Noor, Samsul Bahari, Karimadini, Mohammad, Karimoddini, Ali

“…The detection performance of maritime radars is restricted by the unwanted sea echo or clutter. …”
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