Drone delivery has been a hot topic in the industry in the past few years. However, existing approaches either focus on rural areas or rely on centralized drop-off locations from where the last mile delivery is performed. In this paper we tackle the problem of autonomous last mile delivery in urban environments using an off-the-shelf drone. We build a prototype system that is able to fly to the approximate delivery location using GPS and then find the exact drop-off location using visual navigation. The drop-off location could, e.g., be on a balcony or porch, and simply needs to be indicated by a visual marker on the wall or window. We test our system components in simulated environments, including the visual navigation and collision avoidance. Finally, we deploy our drone in a real-world environment and show how it can find the drop-off point on a balcony. To stimulate future research in this topic we open source our code.


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    Titel :

    The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony


    Beteiligte:
    Brunner, Gino (Autor:in) / Szebedy, Bence (Autor:in) / Tanner, Simon (Autor:in) / Wattenhofer, Roger (Autor:in)


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    420172 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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