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Fast Frontier Detection Approach in Consecutive Grid Maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952503" target="_blank" >RIV/49777513:23520/18:43952503 - isvavai.cz</a>

  • Result on the web

    <a href="https://dx.doi.org/10.1007/978-3-319-99582-3_20" target="_blank" >https://dx.doi.org/10.1007/978-3-319-99582-3_20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-99582-3_20" target="_blank" >10.1007/978-3-319-99582-3_20</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast Frontier Detection Approach in Consecutive Grid Maps

  • Original language description

    This paper deals with frontiers detection in occupancy grid maps. The proposed method is based on differences between consecutive maps. Using this approach, frontiers detection is accelerated by calculating the third map which contains only new data. Thus, only new frontiers are detected and added to the list of frontiers. The main contribution of this paper is the description of the proposed approach and its open sourced implementation in Python. Moreover, several results of experiments are discussed. The proposed approach is capable to run very fast even for large maps with many frontiers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    Lecture Notes in Computer Science book series (LNCS, volume 11097)

  • ISBN

    978-3-319-99581-6

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    192-201

  • Publisher name

    Springer

  • Place of publication

    Cham, Switzerland

  • Event location

    Leipzig, Germany

  • Event date

    Sep 18, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article