Automated As-built Information Modelling for Construction Monitoring with Vision Data in Liquefied Natural Gas (LNG) Plants
| dc.contributor.author | Chai, Jian | |
| dc.contributor.supervisor | Prof. Xiangyu Wang | en_US |
| dc.date.accessioned | 2018-02-23T07:41:12Z | |
| dc.date.available | 2018-02-23T07:41:12Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/65984 | |
| dc.description.abstract |
This research aims to develop automated methods of retrieve as-built information from vision data in LNG plants and to use the developed methods to improve the productivity in the LNG industry. This research investigates class-level and further object-level interpretation of point cloud objects in LNG plants. By developing scaffolding detection methods, this research also contributes novel scaffolding construction monitoring methods using intrinsically safe cameras. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Automated As-built Information Modelling for Construction Monitoring with Vision Data in Liquefied Natural Gas (LNG) Plants | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Built Environment | en_US |
| curtin.department | Australasian Joint Research Centre for Building Information Modelling | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Humanities | en_US |