Projekteja vuodessa
Abstrakti
Structure-from-Motion Multi-View Stereo (SfM-MVS) photogrammetry is a viable method to digitize underground spaces for inspection, documentation, or remote mapping. However, the conventional image acquisition process can be laborious and time-consuming. Previous studies confirmed that the acquisition time can be reduced when using a 360-degree camera to capture the images. This paper demonstrates a method for rapid photogrammetric reconstruction of tunnels using a 360-degree camera. The method is demonstrated in a field test executed in a tunnel section of the Underground Research Laboratory of Aalto University in Espoo, Finland. A 10 m-long tunnel section with exposed rock was photographed using the 360-degree camera from 27 locations and a 3D model was reconstructed using SfM-MVS photogrammetry. The resulting model was then compared with a reference laser scan and a more conventional digital single-lens reflex (DSLR) camera-based model. Image acquisition with a 360-degree camera was 3× faster than with a conventional DSLR camera and the workflow was easier and less prone to errors. The 360-degree camera-based model achieved a 0.0046 m distance accuracy error compared to the reference laser scan. In addition, the orientation of discontinuities was measured remotely from the 3D model and the digitally obtained values matched the manual compass measurements of the sub-vertical fracture sets, with an average error of 2–5°.
Alkuperäiskieli | Englanti |
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Artikkeli | 5494 |
Sivumäärä | 20 |
Julkaisu | Remote Sensing |
Vuosikerta | 14 |
Numero | 21 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 31 lokak. 2022 |
OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Sormenjälki
Sukella tutkimusaiheisiin 'Rapid Photogrammetry with a 360-Degree Camera for Tunnel Mapping'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Projektit
- 1 Päättynyt
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GAGS: Geofysikaaliset ja geokemialliset menetelmät kaivossuunnittelun tukena
Baghbanan, A. (Projektin jäsen), Kangas, L. (Projektin jäsen), Lange, M. (Projektin jäsen), Rinne, M. (Vastuullinen tutkija), Janiszewski, M. (Projektin jäsen), Leveinen, J. (Projektin jäsen), Kiuru, R. (Projektin jäsen), Laine, I. (Projektin jäsen), Uotinen, L. (Projektin jäsen) & Kangas, L. (Projektin jäsen)
01/10/2018 → 31/05/2022
Projekti: Academy of Finland: Other research funding
Lehtileikkeet
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Study Findings from Aalto University Broaden Understanding of Remote Sensing (Rapid Photogrammetry with a 360-Degree Camera for Tunnel Mapping)
Janiszewski, M., Rinne, M. & Uotinen, L.
29/11/2022
1 kohde/ Medianäkyvyys
Lehdistö/media: Esiintyminen mediassa