Building geometry is significant in many ways such as the urban building retrofit and building stock analysis. However, the current approaches to collect building geometry data is highly limited to on-site survey or pre-registered data. The project aims to develop a method which utilises computer vision technologies to characterise building geometry data at scale with a high automation level.

PhD Candidate: Menglin Dai

Supervisory Team: Wil O.C. Ward, Danielle Densley Tingley, Martin Mayfield-Tulip

Project Status: Ongoing

Project Start Date: 24th September 2018

Keywords: Building retrofit, material stock analysis