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Approach an autonomous vessel as a single robot with Robot Operating System in virtual environment

Approach an autonomous vessel as a single robot with Robot Operating System in virtual environment
Approach an autonomous vessel as a single robot with Robot Operating System in virtual environment
This project aims at developing an efficient simulation environment for the vessel navigation system. The design of the overall navigation system is described along with its application for the case study of an autonomous vessel. The UNITY and Robot Operating System were utilised as the virtual environment and the main control framework, respectively. By treating the autonomous vessel as a single robot, each part of the system was formulated to enhance the efficiency and visualisation in the development progresses for autonomous system. The virtual environment using UNITY overwhelms the space-time constraints in the testing stage. The navigation system combined with conventional navigation algorithms and a computer vision algorithm were implemented in the Robot Operating System. Hence, the navigation system was enhanced by an assistant object detection algorithm to be more active on fusing environment information. The excellence of the proposed object detection model was demonstrated with reliable performance with 94% mean Average Precision, which renders the model exhibiting visual sensibility in navigation. Overall, it is believed that this study can contribute to offering some insights into developing autonomous marine vessels.
Autonomous vehicle, ROS, UNITY, object detection
50-66
Choi, Jaewoo
2204a8f6-10ec-42fd-9e99-c6ca160c9713
Jeong, Byongug
0ebcb8a7-cc7d-47e3-a92c-f988592b9949
Theotokatos, Gerasimos
54540c18-170a-4fe3-b856-a21f90665418
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Choi, Jaewoo
2204a8f6-10ec-42fd-9e99-c6ca160c9713
Jeong, Byongug
0ebcb8a7-cc7d-47e3-a92c-f988592b9949
Theotokatos, Gerasimos
54540c18-170a-4fe3-b856-a21f90665418
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909

Choi, Jaewoo, Jeong, Byongug, Theotokatos, Gerasimos and Tezdogan, Tahsin (2022) Approach an autonomous vessel as a single robot with Robot Operating System in virtual environment. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 6 (1), 50-66. (doi:10.1080/25725084.2021.2014244).

Record type: Article

Abstract

This project aims at developing an efficient simulation environment for the vessel navigation system. The design of the overall navigation system is described along with its application for the case study of an autonomous vessel. The UNITY and Robot Operating System were utilised as the virtual environment and the main control framework, respectively. By treating the autonomous vessel as a single robot, each part of the system was formulated to enhance the efficiency and visualisation in the development progresses for autonomous system. The virtual environment using UNITY overwhelms the space-time constraints in the testing stage. The navigation system combined with conventional navigation algorithms and a computer vision algorithm were implemented in the Robot Operating System. Hence, the navigation system was enhanced by an assistant object detection algorithm to be more active on fusing environment information. The excellence of the proposed object detection model was demonstrated with reliable performance with 94% mean Average Precision, which renders the model exhibiting visual sensibility in navigation. Overall, it is believed that this study can contribute to offering some insights into developing autonomous marine vessels.

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More information

Accepted/In Press date: 30 November 2021
Published date: 2 January 2022
Additional Information: Publisher Copyright: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords: Autonomous vehicle, ROS, UNITY, object detection

Identifiers

Local EPrints ID: 473877
URI: http://eprints.soton.ac.uk/id/eprint/473877
PURE UUID: dbc525f6-631f-4a2e-a981-f2e5a4217003
ORCID for Tahsin Tezdogan: ORCID iD orcid.org/0000-0002-7032-3038

Catalogue record

Date deposited: 02 Feb 2023 17:36
Last modified: 17 Mar 2024 04:18

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Contributors

Author: Jaewoo Choi
Author: Byongug Jeong
Author: Gerasimos Theotokatos
Author: Tahsin Tezdogan ORCID iD

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