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

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    SYSNO ASEP0421686
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleSearching for Features in Laser Rangefinder Scan via Combination of Local Curvature Scale and Human Obstacles Detection
    Author(s) Krejsa, Jiří (UT-L) RID, ORCID
    Věchet, Stanislav (UT-L) RID, ORCID
    Source TitleMechatronics 2013. - Cham : Springer, 2013 - ISBN 978-3-319-02293-2
    Pagess. 599-606
    Number of pages8 s.
    Publication formPrint - P
    ActionMechatronics 2013 /10./
    Event date07.10.2013-09.10.2013
    VEvent locationBrno
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryCH - Switzerland
    Keywordsfeature extraction ; obstacle detection
    Subject RIVJD - Computer Applications, Robotics
    Institutional supportUT-L - RVO:61388998
    UT WOS000345341700076
    EID SCOPUS84903767070
    DOI10.1007/978-3-319-02294-9_76
    AnnotationDetection 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 rangefinder scan data with human obstacles detection, used to extract such dynamic obstacles reading from the scan thus improving the robustness of feature detection.
    WorkplaceInstitute of Thermomechanics
    ContactMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Year of Publishing2014
Number of the records: 1  

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