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Radar-based collision avoidance on Unmanned Surface Vehicles (USV)

The development of a viable unmanned surface vehicles (USV) is gaining momentum due to its diverse military and commercial applications. The fundamental problem in USV design is to overcome the measurement uncertainty of the sensors attached to the USV in the marine environment. The aim of this...

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Main Authors: Rafi, Muhammad Shahrul Afiq bin Mohamad, Sediono, Wahju, Abidin, Zulkifli Zainal
Format: Conference or Workshop Item
Language:English
Published: IEEE 2022
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/105061/1/p.wsediono.ieee.2023.Radar-Based_Collision_Avoidance_on_Unmanned_Surface_Vehicles_USV.pdf
http://irep.iium.edu.my/105061/
https://ieeexplore.ieee.org/xpl/conhome/10072017/proceeding
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spelling my.iium.irep.1050612023-06-12T06:34:02Z http://irep.iium.edu.my/105061/ Radar-based collision avoidance on Unmanned Surface Vehicles (USV) Rafi, Muhammad Shahrul Afiq bin Mohamad Sediono, Wahju Abidin, Zulkifli Zainal TK7885 Computer engineering The development of a viable unmanned surface vehicles (USV) is gaining momentum due to its diverse military and commercial applications. The fundamental problem in USV design is to overcome the measurement uncertainty of the sensors attached to the USV in the marine environment. The aim of this research is to create a collision avoidance model based on the ARPA radar with navigation information about the targets position and path. Information about moving and approaching targets is urgently needed to give USV more autonomy in understanding their environment. This information can help make an initial decision in the collision avoidance algorithm, as shown in this study. The classification of targets is performed based on radar plotting principle. Data of target’s CPA and the distance of approaching target is then calculated. This way of processing reduces the computational effort and gives more reliable results. Despite some limitations, the results show that the proposed method can be used as an alternative model for avoiding collision with a target ship approaching own ship. IEEE 2022-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/105061/1/p.wsediono.ieee.2023.Radar-Based_Collision_Avoidance_on_Unmanned_Surface_Vehicles_USV.pdf Rafi, Muhammad Shahrul Afiq bin Mohamad and Sediono, Wahju and Abidin, Zulkifli Zainal (2022) Radar-based collision avoidance on Unmanned Surface Vehicles (USV). In: 2022 IEEE 9th International Conference on Underwater System Technology: Theory and Applications (USYS), Kuala Lumpur. https://ieeexplore.ieee.org/xpl/conhome/10072017/proceeding 10.1109/USYS56283.2022
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Rafi, Muhammad Shahrul Afiq bin Mohamad
Sediono, Wahju
Abidin, Zulkifli Zainal
Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
description The development of a viable unmanned surface vehicles (USV) is gaining momentum due to its diverse military and commercial applications. The fundamental problem in USV design is to overcome the measurement uncertainty of the sensors attached to the USV in the marine environment. The aim of this research is to create a collision avoidance model based on the ARPA radar with navigation information about the targets position and path. Information about moving and approaching targets is urgently needed to give USV more autonomy in understanding their environment. This information can help make an initial decision in the collision avoidance algorithm, as shown in this study. The classification of targets is performed based on radar plotting principle. Data of target’s CPA and the distance of approaching target is then calculated. This way of processing reduces the computational effort and gives more reliable results. Despite some limitations, the results show that the proposed method can be used as an alternative model for avoiding collision with a target ship approaching own ship.
format Conference or Workshop Item
author Rafi, Muhammad Shahrul Afiq bin Mohamad
Sediono, Wahju
Abidin, Zulkifli Zainal
author_facet Rafi, Muhammad Shahrul Afiq bin Mohamad
Sediono, Wahju
Abidin, Zulkifli Zainal
author_sort Rafi, Muhammad Shahrul Afiq bin Mohamad
title Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
title_short Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
title_full Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
title_fullStr Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
title_full_unstemmed Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
title_sort radar-based collision avoidance on unmanned surface vehicles (usv)
publisher IEEE
publishDate 2022
url http://irep.iium.edu.my/105061/1/p.wsediono.ieee.2023.Radar-Based_Collision_Avoidance_on_Unmanned_Surface_Vehicles_USV.pdf
http://irep.iium.edu.my/105061/
https://ieeexplore.ieee.org/xpl/conhome/10072017/proceeding
_version_ 1769841826681847808
score 13.211869

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