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.
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 language | English |
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| Publication status | Published - 22 May 2019 |
| Event | Logistikwerkstatt Graz 2019: Solution day – „update“ - Technische Universität Graz, Graz, Austria Duration: 22 May 2019 → 22 May 2019 https://logistikwerkstatt-graz.at/ |
Conference
| Conference | Logistikwerkstatt Graz 2019 |
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| Abbreviated title | LoWe Graz |
| Country/Territory | Austria |
| City | Graz |
| Period | 22/05/19 → 22/05/19 |
| Internet address |
Keywords
- Aerial Robotics
- Photogrammetrie
- odometers
- logistics
- Industrial applications