Towards an Autonomous Vision-based Inventory Drone

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

Research output: Contribution to conferencePoster

Abstract

Inventory tracking is a time and cost intensive task in industry. Great expense is dedicated to performing inventory checks. To reduce this effort we present an inventory drone prototype developed to demonstrate the feasibility of vision‑based navigation inside industrial warehouses with highly repetitive visual structure.
In contrast to using LIDAR, we utilize model‑based visual localization against a precomputed map of the environment to estimate and compensate the drift of a commercially available odometry sensor and 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 - 22 May 2019
EventLogistikwerkstatt Graz 2019: Solution day – „update“ - Technische Universität Graz, Graz, Austria
Duration: 22 May 201922 May 2019
https://logistikwerkstatt-graz.at/

Conference

ConferenceLogistikwerkstatt Graz 2019
Abbreviated titleLoWe Graz
CountryAustria
CityGraz
Period22/05/1922/05/19
Internet address

Keywords

  • Aerial Robotics
  • Photogrammetrie
  • odometers
  • logistics
  • Industrial applications

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  • Cite this

    Pestana Puerta, J., Maurer, M., Fraundorfer, F., & Bischof, H. (2019). Towards an Autonomous Vision-based Inventory Drone. Poster session presented at Logistikwerkstatt Graz 2019, Graz, Austria.