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Master Thesis

Extraction d’éléments géométriques dans un nuage de points LiDAR terrestre : application aux relevés de façades

Abstract : Recently, laser scanners get data more and more efficiently. However, data processing is still heavy and it is necessary to automate it to balance acquisition's time and processing's time. These laser scanners (of which the terrestrial LiDAR) allow to scan a scene as a point cloud. They are used in various sectors such as industry, building or robotic. Thus, it is desirable that standards and methods of data processing can be shared by everyone. This is exactly the role of C ++ Point Cloud Library (PCL). This study proposes to automate some of the processing line of building facades surveys by developing an application. The work was based on the PCL library and on various existing processes and methods in the point cloud processing stemming from the thorough literature review.
Document type :
Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01164570
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Submitted on : Wednesday, June 17, 2015 - 11:44:23 AM
Last modification on : Saturday, February 8, 2020 - 12:02:15 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 11:14:44 AM

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  • HAL Id : dumas-01164570, version 1

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Citation

Mounir Ait Mansour. Extraction d’éléments géométriques dans un nuage de points LiDAR terrestre : application aux relevés de façades. Sciences de l'ingénieur [physics]. 2014. ⟨dumas-01164570⟩

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