Aulomatic generation of high-quality building models from Lidar data

A method for automatically generating 3D building models form point clouds generated by lidar sensing technology is discussed. The data-driven generation of polyhedral building models from lidar data only makes sense if the point density is high enough to locate a sufficient number of data points at least in the most relevant planes of the roof. Ground plans can reduce search space for estimating the parameters of adjoining planar segments because the gradient direction of such planes is usually perpendicular to the adjacent polygon segment in the ground plan.