SLAM and INS based positional accuracy assessment of natural and artificial objects under the forest canopy

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F22%3A43922037" target="_blank" >RIV/62156489:43410/22:43922037 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-197-2022" target="_blank" >https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-197-2022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprs-archives-XLIII-B1-2022-197-2022" target="_blank" >10.5194/isprs-archives-XLIII-B1-2022-197-2022</a>

Result language
angličtina
Original language name
SLAM and INS based positional accuracy assessment of natural and artificial objects under the forest canopy
Original language description
The positional accuracy derived from the outputs of carried integrated devices was evaluated in this study. For data collection, the inertial navigation system (INS) SPAN NovAtel and a handheld mobile laser scanner GeoSLAM ZEB Horizon which uses simultaneous localization and mapping technology (SLAM) were utilized for data collection. The accuracy was assessed on the set of reference objects located under the forest canopy, which were measured via a traditional field survey (the methods of geodesy). In the results of this study the high potential of the devices and the application of data collection methods into forestry practice were pointed out. In our research, when the horizontal position of artificial entities was evaluated the average RMSE of 0.26 m, and the average positional RMSE of the derived natural objects (trees) was 0.09 m, both extracted from SLAM. The horizontal positional accuracy of trajectories with RMSE of 9.93 m (INS) and 0.40 m (SLAM) were accomplished.
Czech name
—
Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives)
ISBN
—
ISSN
1682-1750
e-ISSN
2194-9034
Number of pages
9
Pages from-to
197-205
Publisher name
Copernicus GmbH
Place of publication
Göttingen
Event location
Nice
Event date
Jun 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000855582700027

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