Simulation of Stationary and Mobile Laserscanning with VRscan3D

Abstract. Terrestrial and mobile laser scanning technologies have become essential tools in geoinformation, surveying, cultural heritage documentation, and construction. However, access to modern laser scanning equipment remains limited for many universities and training institutions due to high costs, logistical constraints, or disruptions caused by crises such as pandemics or military conflicts. The VRscan3D project addresses this challenge by developing a realistic virtual simulator for stationary and mobile laser scanning that supports education, training, and research.VRscan3D is based on a game-engine environment that enables immersive interaction with virtual scanning devices and realistic 3D scenes. The simulator reproduces the physical parameters of real terrestrial laser scanners. Users can define scan stations, configure scanning parameters, and generate synthetic point clouds that incorporate realistic noise, intensity behavior, and beam characteristics. The platform also supports simulation of mobile scanning systems, including handheld scanners, mobile platforms, and UAV-based systems, allowing users to explore error propagation, scanning trajectories, and operator influence on data quality.In addition to training purposes, VRscan3D enables the generation of synthetic point clouds with known ground truth for testing point cloud processing algorithms and training AI models. Ongoing research focuses on comparing simulated and real datasets to evaluate the accuracy and reliability of synthetic scanning data under dynamic conditions.

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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
2026-07-23
DOI
https://doi.org/10.5194/isprs-archives-xlix-b2-2026-181-2026
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation of Stationary and Mobile Laserscanning with VRscan3D

D. Gorkovchuk, Maria Chizhova, Darius Popovas, Thomas Lühmann et al.
˜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

Simulation of Stationary and Mobile Laserscanning with VRscan3D

D. Gorkovchuk, Maria Chizhova, Darius Popovas, Thomas Lühmann, IULIIA HORKOVCHUK
article en

Abstract

Abstract. Terrestrial and mobile laser scanning technologies have become essential tools in geoinformation, surveying, cultural heritage documentation, and construction. However, access to modern laser scanning equipment remains limited for many universities and training institutions due to high costs, logistical constraints, or disruptions caused by crises such as pandemics or military conflicts. The VRscan3D project addresses this challenge by developing a realistic virtual simulator for stationary and mobile laser scanning that supports education, training, and research.VRscan3D is based on a game-engine environment that enables immersive interaction with virtual scanning devices and realistic 3D scenes. The simulator reproduces the physical parameters of real terrestrial laser scanners. Users can define scan stations, configure scanning parameters, and generate synthetic point clouds that incorporate realistic noise, intensity behavior, and beam characteristics. The platform also supports simulation of mobile scanning systems, including handheld scanners, mobile platforms, and UAV-based systems, allowing users to explore error propagation, scanning trajectories, and operator influence on data quality.In addition to training purposes, VRscan3D enables the generation of synthetic point clouds with known ground truth for testing point cloud processing algorithms and training AI models. Ongoing research focuses on comparing simulated and real datasets to evaluate the accuracy and reliability of synthetic scanning data under dynamic conditions.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLIX-B2-2026
Jade University of Applied Sciences (DE), Kyiv National University of Construction and Architecture (UA), Vilnius Gediminas Technical University (LT), University of Bamberg (DE)
Deutscher Akademischer Austauschdienst
Sustainable cities and communities
Openalex Percentile: Top 8%
3D Surveying and Cultural Heritage
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