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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives)

ISBN

—

ISSN

1682-1750

e-ISSN

2194-9034

Počet stran výsledku

9

Strana od-do

197-205

Název nakladatele

Copernicus GmbH

Místo vydání

Göttingen

Místo konání akce

Nice

Datum konání akce

6. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000855582700027