Databases Urban
Define topographies and land usage with a pixel database for urban usage.
Format of the Databases
The format of an urban database is the .odb (outdoor database
binary) file format. These files can be created (or converted from other formats)
with WallMan and can be used in ProMan for urban scenarios.
Note: The
.odb file must first be preprocessed in WallMan if the prediction method is intelligent ray
tracing.
In urban databases, the basic element is a polygonal cylinder, which is built with planar objects. This is typically vertical walls and a flat polygonal roof. This limitation of the data format saves large amounts of memory and is therefore very efficient for large databases with several thousands of buildings.
Example Collection
This example collection contains five urban databases. You can inspect the .odb files in WallMan or use them in ProMan. In WallMan, you can see the 2D top view and a 3D view.
The databases are as follows:
- Frankfurt
- This urban database contains buildings with a variety of heights and areas. The total number of objects and object numbers can be made visible by clicking . In this example, 683 buildings are present. Use the Find Objects tool to find a particular object (building) with a given number.
- Milano
- A very dense urban scenario is given in this example model. The 2D XY plane shows the top view of the building. The 3rd coordinate settings can be shifted to a maximum of 99 meters, which is the maximum height of the available buildings.
- Munich
- This is a dense city model where the maximum height of the buildings is 99 meters. Single objects can be selected and modified in the XY planar view. Properties of the selected object show the material used and the coordinates of the object.
- Nuremberg
- The maximum height of the building is 69 meters in this model. This is also an urban database for a dense scenario.
- Village in the Black Forest
- This is an urban database for a village in the Black Forest in Germany. The maximum height of the available buildings is 27 meters. The objects are sparse in this example.