Bridge Inspection and Condition Assessment Using Unmanned Aerial Vehicle and Deep Learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Hyung-Jo | ko |
| dc.date.accessioned | 2018-12-20T02:05:57Z | - |
| dc.date.available | 2018-12-20T02:05:57Z | - |
| dc.date.created | 2018-11-29 | - |
| dc.date.issued | 2018-07-25 | - |
| dc.identifier.citation | The World Conference on Structural Control and Monitoring | - |
| dc.identifier.uri | http://hdl.handle.net/10203/247394 | - |
| dc.language | English | - |
| dc.publisher | IASCM & Harbin Institute of Technology | - |
| dc.title | Bridge Inspection and Condition Assessment Using Unmanned Aerial Vehicle and Deep Learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | The World Conference on Structural Control and Monitoring | - |
| dc.identifier.conferencecountry | CC | - |
| dc.identifier.conferencelocation | Shangri-La Hotel Qingdao, Qingdao | - |
| dc.contributor.localauthor | Jung, Hyung-Jo | - |
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