This paper presents an alternative approach to image segmentation by using the spatial distribution of edge pixels as opposed to pixel intensities. The segmentation is achieved by a multi-layered approach and is intended to find suitable landing areas for an aircraft emergency landing. We combine standard techniques (edge detectors) with novel developed algorithms (line expansion and geometry test) to design an original segmentation algorithm. Our approach removes the dependency on environmental factors that traditionally influence lighting conditions, which in turn have negative impact on pixel-based segmentation techniques. We present test outcomes on realistic visual data collected from an aircraft, reporting on preliminary feedback about the performance of the detection. We demonstrate consistent performances over 97% detection rate.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A multi-layered approach for site detection in UAS emergency landing scenarios using geometry-based image segmentation


    Beteiligte:
    Mejias, Luis (Autor:in) / Fitzgerald, Daniel (Autor:in)


    Erscheinungsdatum :

    01.05.2013


    Format / Umfang :

    4018510 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ICAS2014_0885: EMERGENCY LANDING SITE LOCATION USING AERIAL IMAGE SEGMENTATION

    Levora, T. / Bruna, O. / Paces, P. | British Library Conference Proceedings | 2014



    Semi-Automated Emergency Landing Site Selection Approach for UAVs

    Ayhan, Bulent / Kwan, Chiman / Um, Yool-Bin et al. | IEEE | 2019


    IMAGE SEGMENTATION BASED EMERGENCY LANDING FOR AUTONOMOUS AND AUTOMATED UNMANNED AERIAL VEHICLES

    Hausmann, P. / Meeb, H. / Elger, G. | British Library Conference Proceedings | 2022


    Shuttle Abort Landing Site Emergency Medical Services

    McKenas, David K. / Jennings, Richard T. | SAE Technical Papers | 1991