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Practical Applicability of Tree Spacing Passability Analysis on Vehicle Path Planning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00563848" target="_blank" >RIV/60162694:G43__/26:00563848 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26210/26:0201682

  • Result on the web

    <a href="https://www.springer.com/series/558" target="_blank" >https://www.springer.com/series/558</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-71397-2_6" target="_blank" >10.1007/978-3-031-71397-2_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Practical Applicability of Tree Spacing Passability Analysis on Vehicle Path Planning

  • Original language description

    The article describes an off-road passability analysis as a key component of many autonomous systems, where plenty of geographical, technical as well as tactical factors or conditions must be included. One of the most challenging environments for the assessment of trafficability is forest. The major factor determining the trafficability through forests is a tree spacing. However, even if tree spacing is wider than the width of a vehicle, the passability is not guaranteed. The object of this paper is to point out that digital data files from the varied forests types were obtained by a geodetic as well as aerial photogrammetric methods. That data sources can be considered as an essential factor of digital battlefield environment influencing the path’s length extension. Predetermined routes were calculated and compared via two types of analyses in order to verify if they can be used as an input factor for autonomous ground vehicle’s (UGV) decision making process. This analysis can be modified and extended due to other geographical, tactical or technical features using others terrain feature modelling and advanced algorithms, subsequently that results can be used for commander’s decision-making process.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    978-3-031-71396-5

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    24

  • Pages from-to

    68-91

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Cham

  • Event location

    Palermo, Italian Republic

  • Event date

    Oct 17, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001419689800006