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AR Solution for Indoor Drone Motion Forecasting

  • Imre Paniti,
  • János Nacsa,
  • Erik Tóth,
  • József Tóth

摘要

In case of indoor drone applications three different areas are classified: inventory management, indoor intra-logistics and inspection & surveillance. For each drone movement there is an optimal trajectory where the time for reaching point B from point A can be minimized. This optimal trajectory cannot be executed in case a human is blocking the route. In order to avoid collisions with the drone, either the drone trajectory has to be modified in real-time (which might cost additional time and energy in case the drone delivers a heavy object) or the human operator has to be warned with a pre-defined understandable signal so he/she can modify his/her movement in time. In this paper, the implementation of an Augmented Reality solution (previously tested in an industrial relevant environment on a collaborative robot) using a micro drone is presented.