A Study of Sonar Image Stabilization of Unmanned Surface Vehicle Based on Motion Sensor for Inspection of Underwater Infrastructure

In order to detect damage to underwater infrastructure for inspection, an expensive survey by a diver is generally conducted, but it carries the risk of accidents. Accordingly, the development of an effective unmanned underwater survey system is an important priority. The unmanned underwater survey...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2020-11, Vol.12 (21), p.3481
Main Authors: Kim, Youngseok, Ryou, Jaesuk
Format: Article
Language:English
Subjects:
Algorithms
Damage detection
Design
Error correction
Field tests
Global positioning systems
GPS
image stabilization
Image stabilizers
Infrastructure
Inspection
Motion sensors
Polls & surveys
Sensors
Sonar
Stabilization
Standard data
Storm damage
Surface vehicles
Underwater
underwater infrastructure
Unmanned aerial vehicles
Unmanned vehicles
USV
Vehicles
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Summary:In order to detect damage to underwater infrastructure for inspection, an expensive survey by a diver is generally conducted, but it carries the risk of accidents. Accordingly, the development of an effective unmanned underwater survey system is an important priority. The unmanned underwater survey system used in this study is equipped with sonar towed by an- Unmanned Surface Vehicle (USV) to conduct the survey, but the USV is more affected by the waves and swells than a common boat. As a result, distorted sonar data causes errors in the information regarding the damage of underwater infrastructure. This study proposes the method of sonar image stabilization to minimize the errors of the distortion of sonar data by using a motion sensor. The change in the amount of the roll was calculated from the motion sensor, and the sonar data was corrected in the sonar ping unit. The sonar image stabilization algorithm was verified through field tests, and the error rate before and after correction was reduced by 15%. It is expected that, in the future, the proposed approach will be used as a standard data-gathering system for securing the reliability of sonar data when performing an unmanned underwater survey.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs12213481