This is a long shot but:
For some research on my PhD it would be very nice if I can have some statistical information on typical buildings. The kinds of things I am interested in is the average width of corridors, ceiling heights, office sizes (and the range of normal values along with the averages.
Even more interesting would be things like typical corridor lengths and branching factors (are most branches 2-way, 3-way etc). Any statistical distribution of this information would be perfect.
This data likely varies between building types, so an average detached house will be different to a shopping mall to a university campus or hospital. Separate data on different building types would be superb.
I want to make a robotic search algorithm that exploits the structure of indoor environments and uses the statistical distribution of the common design elements to optimize the search strategy. This data can then also be used within a graph.-theoretic approach to prove optimal graph traversal times
For some research on my PhD it would be very nice if I can have some statistical information on typical buildings. The kinds of things I am interested in is the average width of corridors, ceiling heights, office sizes (and the range of normal values along with the averages.
Even more interesting would be things like typical corridor lengths and branching factors (are most branches 2-way, 3-way etc). Any statistical distribution of this information would be perfect.
This data likely varies between building types, so an average detached house will be different to a shopping mall to a university campus or hospital. Separate data on different building types would be superb.
I want to make a robotic search algorithm that exploits the structure of indoor environments and uses the statistical distribution of the common design elements to optimize the search strategy. This data can then also be used within a graph.-theoretic approach to prove optimal graph traversal times
