@inproceedings{997a352d1a96478ba9bd4528f5c7b2f8,
title = "Unmanned Surface Vehicle Docking Using Optical Flow and Global Positioning System",
abstract = "One of the challenging requirements of an Unmanned Surface Vehicles (USVs) is providing a high precision control performance during docking to prevent collisions with the dock walls. While GPS-based navigation is highly effective for guiding USVs from one location to another, it becomes less effective when the USV moves slowly and requires high accuracy. In this paper, we propose a navigation method for USVs using optical flow in conjunction with GPS. GPS remains as the main navigation source as the USV approaches the dock, but during the docking stage, the GPS is disengaged in favor of optical flow as the primary guide. We have successfully implemented this method with an error of 1.3m compared to the GPS-based has an error of 8.3 m. It means that the proposed method improves accuracy up to 7m.",
keywords = "Docking, Global Positioning System, Navigation, Optical flow, Unmanned Surface Vehicle",
author = "Ronny Mardiyanto and Nabil Bachmid and Devy Kuswidiastuti and Muhammad Attamimi",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Information Technology and Computing, ICITCOM 2023 ; Conference date: 01-12-2023 Through 02-12-2023",
year = "2023",
doi = "10.1109/ICITCOM60176.2023.10442149",
language = "English",
series = "Proceeding - International Conference on Information Technology and Computing 2023, ICITCOM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "73--77",
editor = "Hsing-Chung Chen and Cahya Damarjati and Christian Blum and Yessi Jusman and Kanafiah, {Siti Nurul Aqmariah Mohd} and Waleed Ejaz",
booktitle = "Proceeding - International Conference on Information Technology and Computing 2023, ICITCOM 2023",
address = "United States",
}
