AUTOMATIC EXTRACTION OF 3D BUILDING MESHES FROM LIDAR DATA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00364759" target="_blank" >RIV/68407700:21110/22:00364759 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.14311/APP.2022.34.0133" target="_blank" >https://doi.org/10.14311/APP.2022.34.0133</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/APP.2022.34.0133" target="_blank" >10.14311/APP.2022.34.0133</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AUTOMATIC EXTRACTION OF 3D BUILDING MESHES FROM LIDAR DATA

Popis výsledku v původním jazyce

Terrestrial laser scanning and drone-based scanning are often combined to gain a complete picture of the external envelopes of buildings. While the resulting data sets are easy to understand for humans, extracting any semantical information from the data is a challenging task. Creating a BIM model for large cities is desirable, especially for planning and inventory purposes. Nowadays, engineers manually separate buildings and draw corresponding floor plans or any other required entities, making creating such a model nearly impossible for the whole city. In this contribution, we present the design and concept of a C++ library that provides fundamental algorithmic tools for automated detection of the ground points, separation of buildings into individual point clouds, and segmentation of walls and roofs. The buildings’ 3D model (both volumetric and surface mesh) can be constructed using the data. Furthermore, the building area and volume calculation can be performed on such a model, which can then be compared with the existing city plan.

Název v anglickém jazyce

AUTOMATIC EXTRACTION OF 3D BUILDING MESHES FROM LIDAR DATA

Popis výsledku anglicky

Terrestrial laser scanning and drone-based scanning are often combined to gain a complete picture of the external envelopes of buildings. While the resulting data sets are easy to understand for humans, extracting any semantical information from the data is a challenging task. Creating a BIM model for large cities is desirable, especially for planning and inventory purposes. Nowadays, engineers manually separate buildings and draw corresponding floor plans or any other required entities, making creating such a model nearly impossible for the whole city. In this contribution, we present the design and concept of a C++ library that provides fundamental algorithmic tools for automated detection of the ground points, separation of buildings into individual point clouds, and segmentation of walls and roofs. The buildings’ 3D model (both volumetric and surface mesh) can be constructed using the data. Furthermore, the building area and volume calculation can be performed on such a model, which can then be compared with the existing city plan.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

NMM 2021 Nano & Macro Mechanics

ISBN

978-80-01-06976-9

ISSN

—

e-ISSN

2336-5382

Počet stran výsledku

5

Strana od-do

133-137

Název nakladatele

České vysoké učení technické v Praze

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

16. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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