Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F24%3AN0000034" target="_blank" >RIV/60460709:41320/24:N0000034 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2073-445X/13/1/93" target="_blank" >https://www.mdpi.com/2073-445X/13/1/93</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/land13010093" target="_blank" >10.3390/land13010093</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology
Popis výsledku v původním jazyce
In this study, we evaluated the performance of GeoSLAM ZEB Horizon and Stonex X120GO SLAM handheld mobile laser scanners (HMLS) to address two primary objectives. First, we aimed to assess and compare the accuracy of positioning achieved using HMLS instruments. Second, we sought to investigate the influencing factors and their impact on estimation accuracies. The factors influencing the accuracy of positioning in HMLS Simultaneous Localization and Mapping-aided solutions were defined, considering the scanner type, distance from the trajectory, forest structure, tree species, and Diameter at Breast Height. The same type of trajectory was tested in five different stand structures. The evaluation of GeoSLAM HMLS point clouds yielded an average positional RMSE of 17.91 cm, while the data extracted from the Stonex HMLS resulted in an average positional RMSE of 17.33 cm. These results underscore the significant potential of HMLS technology in addressing the critical need for precise positioning data in various applications, from forestry management to environmental monitoring, wildlife habitat assessment, and climate change studies. By harnessing the power of handheld mobile laser scanners, our research aims to enhance the accuracy and efficiency of geospatial data capture in challenging.
Název v anglickém jazyce
Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology
Popis výsledku anglicky
In this study, we evaluated the performance of GeoSLAM ZEB Horizon and Stonex X120GO SLAM handheld mobile laser scanners (HMLS) to address two primary objectives. First, we aimed to assess and compare the accuracy of positioning achieved using HMLS instruments. Second, we sought to investigate the influencing factors and their impact on estimation accuracies. The factors influencing the accuracy of positioning in HMLS Simultaneous Localization and Mapping-aided solutions were defined, considering the scanner type, distance from the trajectory, forest structure, tree species, and Diameter at Breast Height. The same type of trajectory was tested in five different stand structures. The evaluation of GeoSLAM HMLS point clouds yielded an average positional RMSE of 17.91 cm, while the data extracted from the Stonex HMLS resulted in an average positional RMSE of 17.33 cm. These results underscore the significant potential of HMLS technology in addressing the critical need for precise positioning data in various applications, from forestry management to environmental monitoring, wildlife habitat assessment, and climate change studies. By harnessing the power of handheld mobile laser scanners, our research aims to enhance the accuracy and efficiency of geospatial data capture in challenging.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20700 - Environmental engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Land
ISSN
2073-445X
e-ISSN
—
Svazek periodika
13
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
23
Strana od-do
1-23
Kód UT WoS článku
001151533700001
EID výsledku v databázi Scopus
2-s2.0-85183088912