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Drift analysis and sectional post-processing of indoor simultaneous localization and mapping (SLAM)-based laser scanning data
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Automation in Construction, Volume 147
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.
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Keitaanniemi, A, Rönnholm, P, Kukko, A & Vaaja, M T 2023, 'Drift analysis and sectional post-processing of indoor simultaneous localization and mapping (SLAM)-based laser scanning data', Automation in Construction, vol. 147, 104700. https://doi.org/10.1016/j.autcon.2022.104700