Architecture, Built Environment and Construction Engineering
Semantic photogrammetry and visual mobile mapping for realtime
Real-time measurements and data collections are still an outstanding challenge, which this thesis program will assist in solving both the surveying and data retrieval and referencing aspects. The goal of the PhD research is develop a photogrammetric methodology to survey and model scenes of any shape, resulting in a scaled semantic 3D point cloud of the surveyed environment. The PhD’s goal is to resolve two still open research problems: i) to speed up the digitalization process and ii) to aid data retrieval by using tools that automatically analyze data. In the first step of the research, the candidate will work on automatic real-time image orientation based on V-SLAM techniques. The second step will focus on the integration of machine/deep learning techniques to build a real-time image classification process to help with the automatic referencing of data and info on the 3D digital copy.