3D Reconstruction of rough terrain for USARSim using a height-map method
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation
International Journal of Computer Vision
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An increasing need for automated 3D city reconstruction models is being driven by a variety of applications, from tourism to disaster management. The arrival of LIDAR (Light Detection and Ranging) - airborne laser altimetry - now provides rapid elevation models of terrain and buildings. LIDAR data contains X, Y and Z coordinates only, it does not provide any building information. The challenge is to convert the data into CAD-type models containing walls, roof planes and terrain which can be rapidly displayed from any 3D viewpoint. This paper shows an alternative method to locate building blocks and identify the roof structures with the use of the Delaunay Triangulation and its dual Voronoi diagram.