Integration of Stereo Vision and MOOS-IvP for Enhanced Obstacle Detection and Navigation in Unmanned Surface Vehicles

Integration of Stereo Vision and MOOS-IvP for Enhanced Obstacle Detection and Navigation in Unmanned Surface Vehicles

This paper addresses the development of a stereo vision-based obstacle avoidance system using MOOS-IvP for small and medium-sized Unmanned Surface Vehicles (USVs). Existing methods predominantly rely on optical sensors such as LiDAR and cameras to discern maritime obstacles within the short- to mid-...

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Bibliographic Details
Main Authors: Yousef Abd Alhattab, Zulkifli Bin Zainal Abidin, Ahmed Rimaz Faizabadi, Hasan F. M. Zaki, Ahmad Imran Ibrahim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Stereo vision
object detection
situational awareness
obstacle avoidance
MOOS-IvP
unmanned surface vehicles
Online Access:https://ieeexplore.ieee.org/document/10314528/

Internet

https://ieeexplore.ieee.org/document/10314528/

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