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.
|Publication status||Published - 5 Oct 2018|
|Event||2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop on Robotics for Logistics: Workshop on robotics for logistics in warehouses and environments shared with humans - Madrid Municipal Conference Centre (MMCC), Madrid, Spain|
Duration: 5 Oct 2018 → 5 Oct 2018
|Workshop||2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop on Robotics for Logistics|
|Abbreviated title||IROS2018 Workshop on Robotics for Logistics|
|Period||5/10/18 → 5/10/18|
- Aerial Robotics
- Computer Vision
- Autonomous Navigation
- Camera Drones
Maurer, M., Pestana Puerta, J., Fraundorfer, F., & Bischof, H. (2018). Towards an Autonomous Vision-based Inventory Drone. Poster session presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop on Robotics for Logistics, Madrid, Spain.