Version 1
: Received: 26 April 2023 / Approved: 27 April 2023 / Online: 27 April 2023 (02:41:36 CEST)
How to cite:
Gomez, C.; Setiawan, M.A.; Listyaningrum, N.; Bradák, B.; Saleh, Y. Combining low-cost SLAM and SfM-MVS for Rural and Forest Road-side Slope Erosion Control: a methodology. Preprints2023, 2023041007. https://doi.org/10.20944/preprints202304.1007.v1
Gomez, C.; Setiawan, M.A.; Listyaningrum, N.; Bradák, B.; Saleh, Y. Combining low-cost SLAM and SfM-MVS for Rural and Forest Road-side Slope Erosion Control: a methodology. Preprints 2023, 2023041007. https://doi.org/10.20944/preprints202304.1007.v1
Gomez, C.; Setiawan, M.A.; Listyaningrum, N.; Bradák, B.; Saleh, Y. Combining low-cost SLAM and SfM-MVS for Rural and Forest Road-side Slope Erosion Control: a methodology. Preprints2023, 2023041007. https://doi.org/10.20944/preprints202304.1007.v1
APA Style
Gomez, C., Setiawan, M.A., Listyaningrum, N., Bradák, B., & Saleh, Y. (2023). Combining low-cost SLAM and SfM-MVS for Rural and Forest Road-side Slope Erosion Control: a methodology. Preprints. https://doi.org/10.20944/preprints202304.1007.v1
Chicago/Turabian Style
Gomez, C., Balázs Bradák and Yousefi Saleh. 2023 "Combining low-cost SLAM and SfM-MVS for Rural and Forest Road-side Slope Erosion Control: a methodology" Preprints. https://doi.org/10.20944/preprints202304.1007.v1
Abstract
Hillslope and mountain roads are often the source of erosion, which in turn can lead to larger landslides and other types of mass-movements. For this reason, low-cost repeat surveys that can be done by practitioners and not solely scientists and engineers is essential. To solve this issue the present contribution shows the testing and applicability of a mix of SfM-MVS and low-cost SLAM technology to provide erosion information. The low-cost SLAM generated between 300 ~ 900 points per square meter, while SfM-MVS created between ~11,000 to 900,000 points. The density is however a trade-off against a spatially varying error, although the variability at the road-cut scale only ranges from 2 cm vertically to 2.5 cm in x,y,z based on the C2C algorithm. Furthermore, this error tends to be more important in the higher section of the cutout (further away from the sensor and at a flatter angle). It is thus possible to measure small-scale roadside change, providing that the change is in the range of >5 cm (adding the maximum potential error twice) and providing that the road-cut is such that the sensors can be brought close to the surface (camera or sensor on a pole). The authors suggest that it can be a solution for state and agencies with limited funding and that cannot afford regular laser or for roadside that are difficult to access.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
