Building information model (BIM) provides detailed information on building components, geometry, spatial relationships, and semantic properties in three-dimension (3D) space. BIM helps understand geometric and semantic properties of buildings and provides the basis for a variety of functional analyses and applications such as facility management and maintenance, heritage (archaeology and architecture) protection, building deformation monitoring, town planning and decision support. The key aspect of building information modelling is to use an efficient way to obtain 3D building data for detailed description of building structure. Terrestrial laser scanner (TLS) offers the capability of collecting high-density and high-accuracy 3D point cloud. Recently, it has been realised that the TLS has the potential for building information modelling. However, the applications of TLS in BIM have not been extensively tested. Moreover, the efficient ways and algorithms for extracting effective building structure information from large volume of laser scanning data have not been developed. Therefore, this research project aims to develop new ways and algorithms to extract object-based building geometric/structural information from laser scanning point cloud data and test their applications in building information modellings.

Dr Zhenyu Zhang

• Dr Xiaoye Liu

• International Centre for Applied Climate Sciences
• School of Engineering and Built Environment

• Geomatic Engineering
• Other Built Environment and Design
• Other Environmental Sciences

• Doctor of Philosophy (DPHD)
• Master of Research (MRES)
• Master of Research (MRES)