Method of developing the maps of passability for unmanned ground vehicles
The result's identifiers
Result code in 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>
Alternative codes found
RIV/60162694:G43__/18:00535335
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Method of developing the maps of passability for unmanned ground vehicles
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50902 - Social sciences, interdisciplinary
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2018) 24-25 April 2018, Kuala Lumpur, Malaysia
ISBN
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ISSN
1755-1307
e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
IOP Conference Series: Earth and Environmental Science
Place of publication
Kuala Lumpur, Malaysia
Event location
Kuala Lumpur
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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