Seal Pipeline: Enhancing Dynamic Object Detection and Tracking for Autonomous Unmanned Surface Vehicles in Maritime Environments

Seal Pipeline: Enhancing Dynamic Object Detection and Tracking for Autonomous Unmanned Surface Vehicles in Maritime Environments

This study addresses the dynamic object detection problem for Unmanned Surface Vehicles (USVs) in marine environments, which is complicated by boat tilting and camera illumination sensitivity. A novel pipeline named “Seal” is proposed to enhance detection accuracy and reliability. The approach begin...

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Bibliographic Details
Main Authors: Mohamed Ahmed, Bader Rasheed, Hadi Salloum, Mostafa Hegazy, Mohammad Reza Bahrami, Mikhail Chuchkalov
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Drones
Subjects:
dynamic object detection
unmanned surface vehicles
Kalman filter
LiDAR point cloud
Online Access:https://www.mdpi.com/2504-446X/8/10/561
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