Method of developing the maps of passability for unmanned ground vehicles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00535335" target="_blank" >RIV/60162694:G42__/18:00535335 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G43__/18:00535335

Výsledek na webu

<a href="http://dx.doi.org/10.1088/1755-1315/169/1/012027" target="_blank" >http://dx.doi.org/10.1088/1755-1315/169/1/012027</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1755-1315/169/1/012027" target="_blank" >10.1088/1755-1315/169/1/012027</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Method of developing the maps of passability for unmanned ground vehicles

Popis výsledku v původním jazyce

The paper presents the methodology for developing passability maps that may be used for planning the movement of unmanned ground vehicles (UGVs). They were based on a standardised spatial data base in the scale of 1:25 000, created and used by the military forces and a high resolution digital terrain model. Maps were generated for square shaped primary fields. 5 sizes of such fields were used (side length 25, 50, 100, 200 and 500 m). Basing on the ground cover and terrain formation, for each primary field the index of passability (IOP) is calculated, being the terrain resistance coefficient. The obtained maps were compared to each other. As the presented methodology is completely automated, an analysis of the passability maps generation time depending on the size of the primary field was conducted. The obtained results demonstrated that maps that are most useful for planning UGV routes are those generated with use of the smallest primary fields (25 m), as they visualize the most terrain obstacles. The generated maps may be recorded in the UGV memory. As far as completely autonomous structures are concerned, this will enable the algorithms implemented in the vehicle, with the support of other sensors, to determine the optimal route of the UGV.

Název v anglickém jazyce

Method of developing the maps of passability for unmanned ground vehicles

Popis výsledku anglicky

The paper presents the methodology for developing passability maps that may be used for planning the movement of unmanned ground vehicles (UGVs). They were based on a standardised spatial data base in the scale of 1:25 000, created and used by the military forces and a high resolution digital terrain model. Maps were generated for square shaped primary fields. 5 sizes of such fields were used (side length 25, 50, 100, 200 and 500 m). Basing on the ground cover and terrain formation, for each primary field the index of passability (IOP) is calculated, being the terrain resistance coefficient. The obtained maps were compared to each other. As the presented methodology is completely automated, an analysis of the passability maps generation time depending on the size of the primary field was conducted. The obtained results demonstrated that maps that are most useful for planning UGV routes are those generated with use of the smallest primary fields (25 m), as they visualize the most terrain obstacles. The generated maps may be recorded in the UGV memory. As far as completely autonomous structures are concerned, this will enable the algorithms implemented in the vehicle, with the support of other sensors, to determine the optimal route of the UGV.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2018) 24-25 April 2018, Kuala Lumpur, Malaysia

ISBN

—

ISSN

1755-1307

e-ISSN

—

Počet stran výsledku

9

Strana od-do

—

Název nakladatele

IOP Conference Series: Earth and Environmental Science

Místo vydání

Kuala Lumpur, Malaysia

Místo konání akce

Kuala Lumpur

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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