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Searching for Features in Laser Rangefinder Scan via Combination of Local Curvature Scale and Human Obstacles Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F13%3A00421686" target="_blank" >RIV/61388998:_____/13:00421686 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Searching for Features in Laser Rangefinder Scan via Combination of Local Curvature Scale and Human Obstacles Detection

  • Original language description

    Detection of reliable features in sensor data is the base for most localization and SLAM algorithms. The paper presents a combination of local curvature scale that enables to easily find environment features such as corners and edges in laser rangefinderscan data with human obstacles detection, used to extract such dynamic obstacles reading from the scan thus improving the robustness of feature detection.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Mechatronics 2013

  • ISBN

    978-3-319-02293-2

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    599-606

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Brno

  • Event date

    Oct 7, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article