Yasutake, Kazushige. Footprint detection of ceiling equipment from TLS point clouds. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2023.
Footprint detection of ceiling equipment from TLS point clouds
Abstract:
In recent years, 3D scanning technology using a terrestrial laser scanner (TLS) has become widespread
and is used in a wide range of fields such as plants, civil engineering, and architecture. The point clouds acquired
by scanning are used for measurement, creating drawings, and 3D model generation and recognition. The reflected
ceiling plan (RCP) is one of the 2D drawings of facilities that represents ceiling equipment such as lighting, fire
alarm, inspection hole, and so on, and is often created for existing facilities for renovations, inspections, and safety
standard checks. For large-scale facilities, the creation of RCPs becomes a labor-intensive and quite timeconsuming
process. This paper presents a method of footprint detection of ceiling equipment for supporting the
creation of RCPs using laser scanning technology. The proposed method detects circle and square shape footprints
of the equipment from TLS point clouds of the facility, and by labeling the equipment information, RCP can be
created. In the experiment for two datasets, the performance of the method is evaluated, and footprints of about
90% are detected.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2023
Modified:
2024-04-09
Issued:
2024-04-09
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BibliograpyCitation :
In Chulalongkorn University. 5th International Conference on Civil and Building Engineering Informatics (ICCBEI 2023) (pp.465-470). Bangkok : Chulalongkorn University