Sensor Fusion Based on Integrated Navigation Data of Sea Surface Vehicle with Machine Learning Method

Belge, Egemen; Cantekin, Recep Fatih; Erol, Berna; Akgul, Volkan; Kartal, Seda Karadeniz; Hacıoğlu, Rıfat; Gormus, Sedar Kurtulus; Kutoğlu, Şenol Hakan; Leblebi̇ci̇oğlu, Kemal

doi:10.1109/inista52262.2021.9548442

Cited by 3 publications

(1 citation statement)

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“…Definition 3. The positions of the sea-surface vehicle in the x and y axes are corrected in relation to the roll, pitch, and yaw angles owing to oscillations using the rotation matrix for measured bathymetric data [29,40]. If the vehicle rotates around the z, y, and x axes with σ, γ, and φ, respectively, with an external distribution effect, then the position of the sea-surface vehicle based on the measured depth is corrected using rotation transformation matrix C as follows:…”

Section: External Disturbance Effectmentioning

confidence: 99%

Modeling and Analysis of Sea-Surface Vehicle System for Underwater Mapping Using Single-Beam Echosounder

Kartal

Hacıoğlu

Gormus

et al. 2022

JMSE

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Detailed knowledge on the shape of the seafloor is crucial for many researchers. Bathymetric data are critical for navigational safety and are used for underwater mapping. This study develops a sea-surface vehicle (SSV) system for underwater mapping by using both bathymetric data from a low-cost single-beam echosounder located on the SSV, and the navigation data of the SSV. The navigation of the SSV was obtained using a global positioning system (GPS). The effect of changing bathymetric and navigation data due to external disturbances such as wind and waves on the map was analyzed. The sea-bottom slope angles, which are effective in changing bathymetric data, were estimated and corrected in relation to the estimated angles in a particular mapped area for more accurate underwater mapping. Additionally, the effects of the grid range of the mapped area, beam angle of the echosounder, and position of the echosounder on the underwater mapping were analyzed. These analyses were based on simulation data, and were performed in a MATLAB, HYPACK, and Global Mapper environment. An underwater map was also obtained in the Kozlu/Zonguldak area, Black Sea by using a single-beam echosounder located on the SSV. This map was improved by estimating sea-bottom slope angles and the corrected bathymetric data to obtain a more accurate underwater map of the area. The experimental and simulation results were compared, focusing on the sea-bottom slope changes, sea-surface disturbances, bathymetry grid range changes, and draft effects.

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Section: External Disturbance Effectmentioning

confidence: 99%