Marjianto, Rachman Sinatriya and Herlambang, Teguh and Triwinanto, Puguh and Othman, Zuraini and Azmi, Mohd Sanusi and Ibrahim, Nuzulha Khilwani and Md. Bohari, Nor Mas Aina (2025) Implementation of modified ensemble and unscented Kalman filters for diving trajectory estimation of remote operated vehicles. Engineering, Technology & Applied Science Research, 15 (6). pp. 30246-30251. ISSN 2241-4487
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Abstract
Remotely Operated Vehicles (ROVs) are underwater vehicle widely researched, developed, and utilized to perform various tasks. The primary functions of ROVs include coral reef exploration, oil refinery inspection, underwater monitoring, and sea accident rescue operations. The ROV typically has six Degrees of Freedom (DoFs), consisting of a combination of translational and rotational motions. To ensure that the ROV moves according to a predetermined trajectory without unwanted rotation or roll, a reliable navigation and position estimation system is required. Several position estimation methods have been proven effective for ROV applications. Among these, the Ensemble Kalman Filter (EnKF) and the Unscented Kalman Filter (UKF) are recognized for their reliability. In this study, a modified version of the EnKF, known as the Square Root Ensemble Kalman Filter (SR-EnKF), is compared with the UKF method. Simulation results indicate that the SR-EnKF provides higher accuracy than the UKF, achieving approximately 99.8% accuracy compared to 99.6% obtained with the UKF.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Estimation, ROV, SR-EnKF, Trajectory, UKF |
| Divisions: | Faculty of Information and Communication Technology |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 18 May 2026 01:23 |
| Last Modified: | 18 May 2026 01:23 |
| URI: | http://eprints.utem.edu.my/id/eprint/29868 |
| Statistic Details: | View Download Statistic |
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