2016 Fiscal Year Final Research Report
Development of assistive technology to automate building damage assessment of tsunami flooded area
| Project/Area Number |
26750133
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Natural disaster / Disaster prevention science
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Keywords | 津波被害 / 建物被災度判定 / 全周囲カメラ / 機械学習 |
|---|
| Outline of Final Research Achievements |
This research clarifies the technical method used outside the disaster area to confirm the building damage levels based on photographs of the tsunami disaster area taken using an in-vehicle all-around camera.To improve damage assessments, through making the evaluation of building damage level more automatic using the in-vehicle all-around camera, a method was clarified to present rough classifications of levels of disaster damage.Furthermore, in order to improve the accuracy of automatic evaluation, a mechanism was constructed that uses the visually observed evaluation results as training data of machine learning (Deep Learning), and a system was created to easily access this information on the web.
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| Free Research Field |
地震工学
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