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Master Thesis

Détection des objets dans un environnement urbain à partir de données Lidar

Abstract : The Mobile Mapping System technology has become common since the last few years in geomatic companies. Point clouds resulting from this technology bring a new way of treating the data and drawing topographic plans. Point clouds offer a comprehensive data of the environment. Thereby, the choice of the useful data for drawing the plans is made in post treatment. The purpose of this paper is to propose solutions for an automation of the drawing. For this purpose, this study is focused on two types of objects, poles and curbs. These objects represent the punctual and the linear elements drawn on plans. Methods using local and global descriptors along with segmentation algorithm are proposed to detect and vectorize elements in a robust and optimized way. An analysis of the accuracy and the efficiency of those methods is then explained.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02942244
Contributor : Cnam - Service Commun de la Documentation - Esgt <>
Submitted on : Thursday, September 17, 2020 - 4:25:54 PM
Last modification on : Friday, January 22, 2021 - 3:13:34 AM

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  • HAL Id : dumas-02942244, version 1

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Gwénaël Quéré. Détection des objets dans un environnement urbain à partir de données Lidar. Sciences de l'ingénieur [physics]. 2019. ⟨dumas-02942244⟩

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