Experts estimate that the global population will grow by two billion people in the next 30 years. As the population grows, so does the need for affordable housing. Concrete is already the most widely used building material and will play an important role in meeting the future demand for affordable housing, particularly due to its suitability for prefabrication.
Building Information Modelling (BIM) has considerable potential, especially for the operational phase of buildings. Digital as-built models of existing buildings are needed to use the method, but these are currently few and far between. A comprehensive digitalisation must take place, which can be supported by machine learning (ML) and especially computer vision (CV), thus considerably accelerating the construction processes. One way to restore the quality of construction plans is presented in the paper "Improving 2D Construction Plans with Cycle-consistent Generative Adversarial Networks (CycleGAN)" by Firdes Celik, Benedikt Faltin and Prof. Markus König.