Co-recalage de données hétérogènes 3D géo-référencées : contributions à la correction des relevés laser mobiles

Abstract : The development of 3D mapping databases is a matter of increasing interest. Databases have recently been developed at different scales (national, European, international) and to meet different needs. Such development has been made possible by the implementation of efficient 3D mapping technologies. 3D mapping strategies are based on multi-sensor data fusion usually performed after a preprocessing step that includes registration and filtering. In this thesis, we present new registration methods applied to solve problems in 3D urban environment representations issued from a Mobile Mapping System. We improve the stability of convergence, the computation time and handle heterogeneous data sets in various scenarios. We also propose a new method for qualitative evaluation of 3D registration related to the developed algorithms. Two variants of FQ-Evaluation were tested, based on the extraction and the comparison of geometric features.
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Submitted on : Monday, February 7, 2011 - 11:45:20 AM
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  • HAL Id : pastel-00563782, version 1

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Taha Ridene. Co-recalage de données hétérogènes 3D géo-référencées : contributions à la correction des relevés laser mobiles. Géométrie algorithmique [cs.CG]. École Nationale Supérieure des Mines de Paris, 2010. Français. ⟨NNT : 2010ENMP0020⟩. ⟨pastel-00563782⟩

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