Optimization of autonomous underwater vehicle mission planning process

This article presents the information concerning aspects of the autonomous underwater vehicle (AUV) mission planning process, emphasizing maritime security monitoring and surveillance, and using side-looking sonars as a primary data source. The paper describes characteristic mission plan phases and...

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Main Authors: Wojciech Wawrzyński, Mariusz Zieja, Mariusz Żokowski, Norbert Sigiel
Format: Article
Language:English
Published: Polish Academy of Sciences 2022-01-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
Online Access:https://journals.pan.pl/Content/122232/PDF/BPASTS_2022_70_2_2444.pdf
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author Wojciech Wawrzyński
Mariusz Zieja
Mariusz Żokowski
Norbert Sigiel
author_facet Wojciech Wawrzyński
Mariusz Zieja
Mariusz Żokowski
Norbert Sigiel
author_sort Wojciech Wawrzyński
collection DOAJ
description This article presents the information concerning aspects of the autonomous underwater vehicle (AUV) mission planning process, emphasizing maritime security monitoring and surveillance, and using side-looking sonars as a primary data source. The paper describes characteristic mission plan phases and gives suggestions for the operators, mainly concerning the safety and effectiveness of the AUV mission. The article describes the coverage path planning algorithm, which could be used to create an effective AUV mission plan, considering AUV manoeuvrability, sonar characteristics, and environmental factors. The results of the algorithms have been verified during the real mission of the AUV vehicle.
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spelling doaj.art-dfc20b41d4c6454b8e9e167cdca15d7e2022-12-22T04:00:23ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172022-01-01702https://doi.org/10.24425/bpasts.2022.140371Optimization of autonomous underwater vehicle mission planning processWojciech Wawrzyński0Mariusz Zieja1Mariusz Żokowski2Norbert Sigiel3Warsaw University of Technology, ul. Plac Politechniki 1, 00-661 Warszawa, PolandAir Force Institute of Technology, ul. Księcia Bolesława 6, 01-494 Warszawa, PolandArmament Agency, ul. Królewska 1/7, 00-909 Warszawa, Poland 13.MCM Squadron, ul. Smidowicza 48, 81-106 Gdynia, PolandThis article presents the information concerning aspects of the autonomous underwater vehicle (AUV) mission planning process, emphasizing maritime security monitoring and surveillance, and using side-looking sonars as a primary data source. The paper describes characteristic mission plan phases and gives suggestions for the operators, mainly concerning the safety and effectiveness of the AUV mission. The article describes the coverage path planning algorithm, which could be used to create an effective AUV mission plan, considering AUV manoeuvrability, sonar characteristics, and environmental factors. The results of the algorithms have been verified during the real mission of the AUV vehicle.https://journals.pan.pl/Content/122232/PDF/BPASTS_2022_70_2_2444.pdfsea bottom researchesautonomous underwater systemsauv trajectory
spellingShingle Wojciech Wawrzyński
Mariusz Zieja
Mariusz Żokowski
Norbert Sigiel
Optimization of autonomous underwater vehicle mission planning process
Bulletin of the Polish Academy of Sciences: Technical Sciences
sea bottom researches
autonomous underwater systems
auv trajectory
title Optimization of autonomous underwater vehicle mission planning process
title_full Optimization of autonomous underwater vehicle mission planning process
title_fullStr Optimization of autonomous underwater vehicle mission planning process
title_full_unstemmed Optimization of autonomous underwater vehicle mission planning process
title_short Optimization of autonomous underwater vehicle mission planning process
title_sort optimization of autonomous underwater vehicle mission planning process
topic sea bottom researches
autonomous underwater systems
auv trajectory
url https://journals.pan.pl/Content/122232/PDF/BPASTS_2022_70_2_2444.pdf
work_keys_str_mv AT wojciechwawrzynski optimizationofautonomousunderwatervehiclemissionplanningprocess
AT mariuszzieja optimizationofautonomousunderwatervehiclemissionplanningprocess
AT mariuszzokowski optimizationofautonomousunderwatervehiclemissionplanningprocess
AT norbertsigiel optimizationofautonomousunderwatervehiclemissionplanningprocess