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Autonomous Underwater Vehicle Design and Development: Methodology and Performance Evaluation Cover

Autonomous Underwater Vehicle Design and Development: Methodology and Performance Evaluation

Open Access
|Dec 2024

Abstract

This study focused on the development of an Autonomous Underwater Vehicle (AUV) across four key domains: Mechanical Design, Software, Electronics, and Security. The Mechanical Design phase involved utilizing computer-aided drawing programs to create the AUV model. Important design considerations encompass manufacturability, cost, power, weight, and durability. Comparisons with nominal values of existing market products validated the precision of the produced designs. This study placed particular emphasis on the optimization of model weight, with a focus on ensuring the AUV’s efficiency, lightness, and exceptional maneuverability within underwater environments. The Software stage entailed the development of AUV software to enable sensitive and effective vehicle operations. Efficient functioning, devoid of errors or complications, was imperative to ensure optimal autonomous driving and operational capabilities. Image processing algorithms were incorporated into the software to maintain high accuracy and provide dimensional and geometric information from targeted areas. Furthermore, the software phase involved the development of an image processing algorithm based on color analysis, further augmenting accuracy. The selection of electronic components for the AUV was also a vital consideration, alongside ensuring safety measures at every stage of the UAV’s development.

DOI: https://doi.org/10.14313/jamris/4-2024/30 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 47 - 61
Submitted on: Jul 23, 2023
Accepted on: Nov 30, 2023
Published on: Dec 10, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Ismail Bogrekci, Pinar Demircioglu, Goktug Ozer, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.