This paper is about vision-based navigation of Micro Aerial Vehicles (MAVs) at night. Despite it being dark almost half of the time, most of the work to date has addressed only daytime operations. Enabling autonomous night-time operation of MAVs with low SWaP on-board sensing capabilities is still an open problem in current robotics research. In this work, we take a step in this direction and study the problem in the context of vision-based autonomous landing at night using thermal-infrared cameras.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Towards Vision-based Safe Autonomous Landing of MAVs at Night


    Beteiligte:
    Delaune, Jeff (Autor:in) / Matthies, Larry (Autor:in) / Bhuta, Rishi (Autor:in) / Daftry, Shreyansh (Autor:in)

    Erscheinungsdatum :

    20.05.2018


    Medientyp :

    Preprint


    Format :

    Keine Angabe


    Sprache :

    Englisch



    Robust Vision-Based Autonomous Navigation, Mapping and Landing for MAVs at Night

    Daftry, Shreyansh / Das, Manash / Delaune, Jeff et al. | Springer Verlag | 2020


    Robust Vision-Based Autonomous Navigation, Mapping and Landing for MAVs at Night

    Daftry, Shreyansh / Das, Manash / Delaune, Jeff et al. | TIBKAT | 2020


    Computer Vision for MAVs

    López, Antonio M. / Imiya, Atsushi / Pajdla, Tomas et al. | Wiley | 2017