Abstract
In this work an approach for geo-referenced 3D reconstruction of outdoor scenes using LIDAR (Light Detection And Ranging) and DGPS (Diferencial Global Positioning System) technologies is presented. We develop a computationally efficient method for 3D reconstruction of city-sized environments using both sensors providing an excellent base point for high-detail street views. In the proposed method, the translation between consecutive local maps is obtained using DGPS data and the rotation is obtained extracting correspondant planes of two point clouds and matching them, after extracting these parameters we merge many local scenes to obtain a global map. We validate the accuracy of the proposed method making a comparison between the reconstruction and real measures and plans of the scanned scene. The results show that the proposed system is a useful solution for 3D reconstruction of large scale city models.
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García-Moreno, AI., Gonzalez-Barbosa, JJ., Ornelas-Rodríguez, FJ., Hurtado-Ramos, JB., Ramirez-Pedraza, A., González-Barbosa, EA. (2013). Automatic 3D City Reconstruction Platform Using a LIDAR and DGPS. In: Batyrshin, I., González Mendoza, M. (eds) Advances in Artificial Intelligence. MICAI 2012. Lecture Notes in Computer Science(), vol 7629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37807-2_25
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DOI: https://doi.org/10.1007/978-3-642-37807-2_25
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