Towards an Autonomous Vision-based Inventory Drone

Michael Maurer, Jesus Pestana Puerta, Friedrich Fraundorfer, Horst Bischof

Research output: Contribution to conferencePoster


Logistics is a time and cost intensive task in industry. Great expense is done in the purpose of inventory. To reduce the effort we present an inventory drone prototype developed to demonstrate the feasibility of vision-based navigation inside industrial warehouse facilities with highly repetitive visual structure. Model-based visual localization against a precomputed map of the environment is used to estimate and compensate the drift of a commercially available odometry sensor and to achieve cm-accurate navigation. Our experiments showcase the capabilities of our prototype for vision-based precise indoor navigation and autonomous inventory. All computations are performed on-board the drone.
Original languageEnglish
Publication statusPublished - 5 Oct 2018
EventWorkshop on Robotics for Logistics: IROS 2018 Workshop - Madrid Municipal Conference Centre (MMCC), Madrid, Spain
Duration: 5 Oct 20185 Oct 2018


WorkshopWorkshop on Robotics for Logistics
Abbreviated titleIROS2018 Workshop on Robotics for Logistics
OtherWorkshop on robotics for logistics in warehouses and environments shared with humans
Internet address


  • Aerial Robotics
  • Computer Vision
  • Control
  • Autonomous Navigation
  • Camera Drones


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