Towards an Autonomous Vision-based Inventory Drone

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

Publikation: KonferenzbeitragPoster

Abstract

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.
Originalspracheenglisch
PublikationsstatusVeröffentlicht - 5 Okt 2018
Veranstaltung2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop on Robotics for Logistics: IROS 2018 - Madrid Municipal Conference Centre (MMCC), Madrid, Spanien
Dauer: 5 Okt 20185 Okt 2018
http://prisma.dieti.unina.it/index.php/events/552-robotics-for-logistics-in-warehouses-and-environments-shared-with-humans

Workshop

Workshop2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop on Robotics for Logistics
KurztitelIROS2018 Workshop on Robotics for Logistics
LandSpanien
OrtMadrid
Zeitraum5/10/185/10/18
Internetadresse

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