A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle
碩士 === 國立中央大學 === 營建管理研究所 === 104 === Using unmanned aerial vehicle (UAV) to assist bridge inspection has become a popular trend in Taiwan. However, since same type of bridge components are similar, it is very difficult to identify the correct position of a deterioration from photos or images captur...
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ndltd-TW-104NCU057180202017-06-10T04:46:49Z http://ndltd.ncl.edu.tw/handle/73896994315996539461 A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle 以無人飛行載具拍攝影像建置三維橋梁模型之初步研究 Ming-Yen Wu 吳明諺 碩士 國立中央大學 營建管理研究所 104 Using unmanned aerial vehicle (UAV) to assist bridge inspection has become a popular trend in Taiwan. However, since same type of bridge components are similar, it is very difficult to identify the correct position of a deterioration from photos or images captured by the UAVs. Thus, this study aims at generating three-dimensional (3D) models for bridges to facilitate the inspection task using those two-dimensional (2D) images. Since there are many types of bridge components, the flying routes of the UAV are much more complicate than those for filming land slopes or buildings. In addition, photos with sky or clouds in the background of the under-bridge components such as slabs or piers, often make it very difficult to generate 3D bridge models. The same task is much easier for land slopes or buildings. After many tests in this study, it was concluded that a better 3D bridge model can be obtained under the following conditions: (1) capturing images under soft daylight such as in cloudy days, (2) keeping the camera have a 45 degree with the component, (3) avoiding capturing images of the UAV components, (4) capturing images by a single camera, (5) correcting fish-eye effect images, and (6) overlapping of images with 80% to 90% vertically and 50% to 60% horizontally. Despite of numerous tests, the 3D bridge models generated in this study are not as precise as expected nor sufficient for inspection use due to the limited capabilities of current UAV, camera, and 3D generation software. However, the research results of this study still provide useful guidance for future study when capabilities of these hardware and software are significantly improved. 姚乃嘉 蔡閔光 2016 學位論文 ; thesis 150 zh-TW |
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碩士 === 國立中央大學 === 營建管理研究所 === 104 === Using unmanned aerial vehicle (UAV) to assist bridge inspection has become a popular trend in Taiwan. However, since same type of bridge components are similar, it is very difficult to identify the correct position of a deterioration from photos or images captured by the UAVs. Thus, this study aims at generating three-dimensional (3D) models for bridges to facilitate the inspection task using those two-dimensional (2D) images.
Since there are many types of bridge components, the flying routes of the UAV are much more complicate than those for filming land slopes or buildings. In addition, photos with sky or clouds in the background of the under-bridge components such as slabs or piers, often make it very difficult to generate 3D bridge models. The same task is much easier for land slopes or buildings. After many tests in this study, it was concluded that a better 3D bridge model can be obtained under the following conditions: (1) capturing images under soft daylight such as in cloudy days, (2) keeping the camera have a 45 degree with the component, (3) avoiding capturing images of the UAV components, (4) capturing images by a single camera, (5) correcting fish-eye effect images, and (6) overlapping of images with 80% to 90% vertically and 50% to 60% horizontally.
Despite of numerous tests, the 3D bridge models generated in this study are not as precise as expected nor sufficient for inspection use due to the limited capabilities of current UAV, camera, and 3D generation software. However, the research results of this study still provide useful guidance for future study when capabilities of these hardware and software are significantly improved.
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姚乃嘉 |
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姚乃嘉 Ming-Yen Wu 吳明諺 |
author |
Ming-Yen Wu 吳明諺 |
spellingShingle |
Ming-Yen Wu 吳明諺 A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle |
author_sort |
Ming-Yen Wu |
title |
A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle |
title_short |
A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle |
title_full |
A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle |
title_fullStr |
A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle |
title_full_unstemmed |
A Preliminary Study on Generation of 3D Bridge Models using Images Captured by Unmanned Aerial Vehicle |
title_sort |
preliminary study on generation of 3d bridge models using images captured by unmanned aerial vehicle |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/73896994315996539461 |
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