Effect of tree location accuracy on vegetation passability analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F24%3A00560302" target="_blank" >RIV/60162694:G43__/24:00560302 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10171323" target="_blank" >https://ieeexplore.ieee.org/document/10171323</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT58149.2023.10171323" target="_blank" >10.1109/ICMT58149.2023.10171323</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Effect of tree location accuracy on vegetation passability analysis

Popis výsledku v původním jazyce

Vegetation on the earth's surface affects not only the use of military equipment, but also the process of planning, command and control of operations. Unmanned ground vehicles (UGV) intervene in operations more and more often. For the need of machine learning algorithms, it is necessary to have models allowing the UGVs learn to pass the forest areas. Data for these models can be collected by surveying or by remote sensing methods. Remote sensing is obviously more efficient in this case. Evaluating the accuracy of determining the position of tree trunks taken by the manual photogrammetric method and its influence on passability analysis is the main goal of this paper. The analysis was performed in six locations for the following vehicles: a wheeled vehicle (Squad Mission Support System Unmanned ground vehicle - SMSS) and a tracked vehicle (THeMIS).

Název v anglickém jazyce

Effect of tree location accuracy on vegetation passability analysis

Popis výsledku anglicky

Vegetation on the earth's surface affects not only the use of military equipment, but also the process of planning, command and control of operations. Unmanned ground vehicles (UGV) intervene in operations more and more often. For the need of machine learning algorithms, it is necessary to have models allowing the UGVs learn to pass the forest areas. Data for these models can be collected by surveying or by remote sensing methods. Remote sensing is obviously more efficient in this case. Evaluating the accuracy of determining the position of tree trunks taken by the manual photogrammetric method and its influence on passability analysis is the main goal of this paper. The analysis was performed in six locations for the following vehicles: a wheeled vehicle (Squad Mission Support System Unmanned ground vehicle - SMSS) and a tracked vehicle (THeMIS).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10700 - Other natural sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

2023 International Conference on Military Technologies (ICMT)

ISBN

979-8-3503-2569-0

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Brno

Místo konání akce

Brno, Czech Republic

Datum konání akce

23. 5. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—