Hybrid Vision System for Enhanced Situational Awareness in Unmanned Surface Vehicles: Decision-Level Camera-LiDAR Fusion With Supervised and Unsupervised Approaches

Hybrid Vision System for Enhanced Situational Awareness in Unmanned Surface Vehicles: Decision-Level Camera-LiDAR Fusion With Supervised and Unsupervised Approaches

The integration of LiDAR and cameras with an efficient data fusion approach significantly improves Enhanced Situational Awareness (ESA) for small-sized Unmanned Surface Vehicles (USVs). This is critical for early obstacle detection, particularly when maritime obstacles are only 5 to 10 seconds away....

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Bibliographic Details
Main Authors: Yousef Abd Alhattab, Hasan F. M. Zaki, Abd Halim Bin Embong, Zulkifli Bin Zainal Abidin, Ahmed Rimaz Faizabadi, Ahmad Imran Ibrahim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Obstacle detection
collision avoidance
fusion system
situational awareness
unmanned surface vehicles
Online Access:https://ieeexplore.ieee.org/document/10969632/
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https://ieeexplore.ieee.org/document/10969632/

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