Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles

碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 97 === Navigation of UUV in unstructured environments with accurate positioning capabilities still is a challenging problem due to the lack of predefined landmarks on the sea floor. The aim of this work is the development of a method for target detection by the pr...

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Main Authors: Wei-Han Wang, 王偉翰
Other Authors: 郭振華
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/90620850577537773638
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spelling ndltd-TW-097NTU053450312016-05-04T04:31:49Z http://ndltd.ncl.edu.tw/handle/90620850577537773638 Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles 使用側掃聲納掃瞄線輔助無人水下載具建立導航地圖 Wei-Han Wang 王偉翰 碩士 國立臺灣大學 工程科學及海洋工程學研究所 97 Navigation of UUV in unstructured environments with accurate positioning capabilities still is a challenging problem due to the lack of predefined landmarks on the sea floor. The aim of this work is the development of a method for target detection by the processing of side-scan sonar scanlines. The detection method developed in this work enables UUVs to build seafloor map for the self localization in an unstructured environment. The detection procedure has two steps. Firstly, a pre-processing step is used to filter the data and to reduce computation time. Then a detector is designed to detect the target position in a scanline. After detection procedure, for the purpose to obtain the whole map of the environment, the occupancy grid mapping method was applied to combine the detect result and the acoustic wave of side-scan sonar in sea water. Finally, trajectory of the UUV could be estimated by motion of the vehicle. This procedure was implemented on an UUV to verify its landmark detection capability. Experimental results conducted on sandy seabed with concrete targets are demonstrated with their signal contents and the final grid maps that are useful for UUV navigation purpose. 郭振華 2009 學位論文 ; thesis 79 en_US
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language en_US
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description 碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 97 === Navigation of UUV in unstructured environments with accurate positioning capabilities still is a challenging problem due to the lack of predefined landmarks on the sea floor. The aim of this work is the development of a method for target detection by the processing of side-scan sonar scanlines. The detection method developed in this work enables UUVs to build seafloor map for the self localization in an unstructured environment. The detection procedure has two steps. Firstly, a pre-processing step is used to filter the data and to reduce computation time. Then a detector is designed to detect the target position in a scanline. After detection procedure, for the purpose to obtain the whole map of the environment, the occupancy grid mapping method was applied to combine the detect result and the acoustic wave of side-scan sonar in sea water. Finally, trajectory of the UUV could be estimated by motion of the vehicle. This procedure was implemented on an UUV to verify its landmark detection capability. Experimental results conducted on sandy seabed with concrete targets are demonstrated with their signal contents and the final grid maps that are useful for UUV navigation purpose.
author2 郭振華
author_facet 郭振華
Wei-Han Wang
王偉翰
author Wei-Han Wang
王偉翰
spellingShingle Wei-Han Wang
王偉翰
Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles
author_sort Wei-Han Wang
title Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles
title_short Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles
title_full Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles
title_fullStr Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles
title_full_unstemmed Sidescan Sonar Mapping Using Sonar Scanlines for Unmanned Underwater Vehicles
title_sort sidescan sonar mapping using sonar scanlines for unmanned underwater vehicles
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/90620850577537773638
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