Hello,
ARKit already have ways to identify walls, doors, chairs and other objects:
Here there seems to say that RoomPlan is powered by a distinct (although similar) algorithms and AI model than ARKit scene understanding. Is it correct? I was wondering what was exactly the point of designing a new algorithm from scratch and also which of them present better performance and more reliable results? Why are two different methods designed for the same purpose integrated in the framework?