Abstract: A method and a system for creating a collective point-cloud data from a plurality of local point-cloud data including the steps of: providing scanner data containing a plurality of local point-cloud data and relatively low-precision positioning data of the scanner providing the local point-cloud data, creating a relatively medium-precision collective point-cloud data from the plurality of local point-cloud data using external (medium-precision) positioning data associated with each of said plurality of local point-cloud data, and then creating a relatively high-precision collective point-cloud data from said medium-precision collective point-cloud data.

Abstract: A method for generating a 3D-model of an urban environment including: identifying a first plurality of border lines where each border line substantially circumferences a sub-area within the urban environment; generating a 3D-model for the urban sub-areas; generating a 3D-model for an complementary area of the urban environment, the complementary area the border lines and the area between the border lines and excluding the urban sub-areas; merging the 3D-models of the sub-areas with the 3D-model of the complementary area to form said 3D-model of the urban environment.

Abstract: A method for generating 3D visualization of a large-scale environment comprising the steps of: acquiring a 3D model of the large-scale environment; dividing the 3D model into a near-field part and a far-field part; rendering an array of images of the far-field part; creating a 3D visualization of the near-field part combined with the array of rendered images of the far-field part and displaying the combined rendered images.