Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data

City furniture objects hold valuable information about urban traffic and city dynamics, making their integration into 3D city models essential for enhancing these models. This study implements two methodologies for detecting, classifying, and positioning City Furniture objects, as well as one approa...

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Bibliographic Details
Main Authors: H. Doi, A. Yarroudh, I. Jeddoub, R. Hajji, R. Billen
Format: Article
Language:English
Published: Copernicus Publications 2024-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-2-W8-2024/125/2024/isprs-archives-XLVIII-2-W8-2024-125-2024.pdf
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