From Old-School to High-tech: 3D Scanning a Multi-storey Building with Everything We’ve Got

Abstract. Modern trends in geospatial data acquisition are increasingly focused on efficiency, automation, and cost-effectiveness while maintaining sufficient accuracy for a wide range of applications. This paper evaluates the performance of several modern scanning devices, including terrestrial laser scanning (TLS) systems and SLAM-based or photogrammetry-LiDAR based solutions. Measurements were carried out in interior and exterior environments to assess not only positional accuracy but also practical aspects such as acquisition time, post-processing requirements, and overall costs. Results show that while SLAM-based scanners significantly reduce acquisition time and required manpower, their accuracy is lower compared to static TLS methods. Hybrid approaches offer a compromise, balancing speed with improved precision. Cloud-based solutions, such as the Matterport Pro3, provide user-friendly workflows but exhibit significant noise and registration errors, making them unsuitable for high-accuracy surveying tasks.This study confirms that no single scanning technology is universally optimal; instead, the balance between accuracy, efficiency, cost, and operator expertise must guide the choice of device for each specific application.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-11-12
DOI
https://doi.org/10.5194/isprs-archives-xlviii-5-w3-2025-23-2025
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

From Old-School to High-tech: 3D Scanning a Multi-storey Building with Everything We’ve Got

Ondřej Grešla
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
3D Surveying and Cultural Heritage
article

From Old-School to High-tech: 3D Scanning a Multi-storey Building with Everything We’ve Got

Ondřej Grešla
article en

Abstract

Abstract. Modern trends in geospatial data acquisition are increasingly focused on efficiency, automation, and cost-effectiveness while maintaining sufficient accuracy for a wide range of applications. This paper evaluates the performance of several modern scanning devices, including terrestrial laser scanning (TLS) systems and SLAM-based or photogrammetry-LiDAR based solutions. Measurements were carried out in interior and exterior environments to assess not only positional accuracy but also practical aspects such as acquisition time, post-processing requirements, and overall costs. Results show that while SLAM-based scanners significantly reduce acquisition time and required manpower, their accuracy is lower compared to static TLS methods. Hybrid approaches offer a compromise, balancing speed with improved precision. Cloud-based solutions, such as the Matterport Pro3, provide user-friendly workflows but exhibit significant noise and registration errors, making them unsuitable for high-accuracy surveying tasks.This study confirms that no single scanning technology is universally optimal; instead, the balance between accuracy, efficiency, cost, and operator expertise must guide the choice of device for each specific application.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-5/W3-2025
Czech Technical University in Prague (CZ)
České Vysoké Učení Technické v Praze
Openalex Percentile: Top 55%
3D Surveying and Cultural Heritage
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From Old-School to High-tech: 3D Scanning a Multi-storey Building with Everything We’ve Got — Ondřej Grešla · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2025) | TGRS Research Map | TGRS