Enhanced YOLOv8 Ship Detection Empower Unmanned Surface Vehicles for Advanced Maritime Surveillance

Enhanced YOLOv8 Ship Detection Empower Unmanned Surface Vehicles for Advanced Maritime Surveillance

The evolution of maritime surveillance is significantly marked by the incorporation of Artificial Intelligence and machine learning into Unmanned Surface Vehicles (USVs). This paper presents an AI approach for detecting and tracking unmanned surface vehicles, specifically leveraging an enhanced vers...

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Bibliographic Details
Main Authors: Abdelilah Haijoub, Anas Hatim, Antonio Guerrero-Gonzalez, Mounir Arioua, Khalid Chougdali
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Journal of Imaging
Subjects:
maritime surveillance
unmanned surface vehicles
YOLOV8 enhancement
edge devices
energy efficiency
accuracy
Online Access:https://www.mdpi.com/2313-433X/10/12/303
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