
Content
The “floor detection” use case aims to address a significant data gap in urban areas: the number of floors in buildings. This information is particularly lacking for older structures, and manually recording it for all buildings in a city would be highly laborious and time-consuming.In this lecture, T4 will present the experimental research process for the automated recording of storeys, from the initial concept to the prototype, and will discuss data acquisition and processing, current challenges, and the results achieved. Another point of discussion will be the question of the extent to which full automation is possible in the use case using AI or whether the results of the AI need to be checked.
Bilder von Gebäudefassaden - Wie viel steckt für künstliche Intelligenz darin?
Präsentation zur CUT-Akademie am 24.08.2023