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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50902 - Social sciences, interdisciplinary

Result continuities

  • Project

  • 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

  • ISSN

    1755-1307

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

  • 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