Projects per year
Abstract
Even though the SLAM laser scanners (LSs) have the required resolution for construction analysis, a drift error has been detected in georeferencing phase of the data processing. The reduction of drift error in SLAM LSs with third-party software has not been studied. This paper demonstrates the drift error behavior of commercial SLAM LSs and their correction with sectional post-processing methods, and shows that the drift error is mainly in a vertical direction, and it is largest in the middle of the trajectory. The drift error was reduced from 10.6 cm to 0.2 cm. Circa 30 s length sections have better results than larger sections with non-rigid transformation algorithm. The method has shown potential to improve the quality and cost-effectiveness of multitemporal construction documentation. In addition, locations of additional control points were analyzed to prevent drift error, with adjustments to the walking path.
| Original language | English |
|---|---|
| Article number | 104700 |
| Journal | Automation in Construction |
| Volume | 147 |
| DOIs | |
| Publication status | Published - Mar 2023 |
| MoE publication type | A1 Journal article-refereed |
Fingerprint
Dive into the research topics of 'Drift analysis and sectional post-processing of indoor simultaneous localization and mapping (SLAM)-based laser scanning data'. Together they form a unique fingerprint.Projects
- 3 Finished
-
@Quality4Roads: Road Distress Mapping Combining Expertise of Sensors and Point Cloud Processing, Surveying and Road Engineering
Vaaja, M. T. (Principal investigator), Bairoh, B.-B. (Project Member), Kauhanen, H. (Project Member), Shafaat, O. (Project Member), Putkiranta, P. (Project Member), Tuori, S. (Project Member), Kurkela, M. (Project Member), Keitaanniemi, A. (Project Member) & Norola, M. (Project Member)
01/09/2019 → 31/08/2023
Project: Academy of Finland: Other research funding
-
Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing Point Cloud Ecosystem
Hyyppä, H. (Principal investigator), Vaaja, M. T. (Project Member), Luhtala, L. (Project Member), Sarlin, M. (Project Member), Aho, S. (Project Member), Ingman, M. (Project Member), Takala, H. (Project Member), Nuikka, M. (Project Member), Kurkela, M. (Project Member), Gullmets, H. (Project Member), Julin, A. (Project Member), Ahlavuo, M. (Project Member), Kallio, J.-M. (Project Member), Maksimainen, M. (Project Member), Handolin, H. (Project Member), Jaalama, K. (Project Member), El-Mahgary, S. (Project Member) & Siirala, H. (Project Member)
01/01/2018 → 31/07/2021
Project: Academy of Finland: Strategic research funding
-
COMBAT: Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem
Hyyppä, H. (Principal investigator), Kurkela, M. (Project Member), Jaalama, K. (Project Member), Nieminen, J. (Project Member), Kallio, J.-M. (Project Member), Vaaja, M. T. (Project Member), Luhtala, L. (Project Member), Räty, S. (Project Member), Gullmets, H. (Project Member), Ahlavuo, M. (Project Member), Laitala, A. (Project Member), Kauhanen, H. (Project Member), Maksimainen, M. (Project Member), Karvonen, S.-P. (Project Member), Kaipanen, S. (Project Member), Ingman, M. (Project Member), Julin, A. (Project Member), Haggren, H. (Project Member), Lehtola, V. (Project Member), Rantanen, T. (Project Member), Virtanen, J.-P. (Project Member), Blåfield, L. (Project Member) & Ståhle, P. (Project Member)
01/05/2015 → 31/12/2017
Project: Academy of Finland: Strategic research funding
Equipment
-
-
i3 – Industry Innovation Infrastructure
Sainio, P. (Manager)
School of EngineeringFacility/equipment: Facility