Towards an Autonomous Vision-based Inventory Drone

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

Towards an Autonomous Vision-based Inventory Drone

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

Institute of Computer Graphics and Vision (7100)

Research output: Contribution to conference › Poster

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.

Original language	English
Publication status	Published - 5 Oct 2018
Event	Workshop on Robotics for Logistics: IROS 2018 Workshop - Madrid Municipal Conference Centre (MMCC), Madrid, Spain Duration: 5 Oct 2018 → 5 Oct 2018 http://prisma.dieti.unina.it/index.php/events/552-robotics-for-logistics-in-warehouses-and-environments-shared-with-humans

Workshop

Workshop	Workshop on Robotics for Logistics
Abbreviated title	IROS2018 Workshop on Robotics for Logistics
Country/Territory	Spain
City	Madrid
Period	5/10/18 → 5/10/18
Other	Workshop on robotics for logistics in warehouses and environments shared with humans
Internet address	http://prisma.dieti.unina.it/index.php/events/552-robotics-for-logistics-in-warehouses-and-environments-shared-with-humans

Keywords

Aerial Robotics
Computer Vision
Control
Autonomous Navigation
Camera Drones

Cite this

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title = "Towards an Autonomous Vision-based Inventory Drone",

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.",

keywords = "Aerial Robotics, Computer Vision, Control, Autonomous Navigation, Camera Drones",

author = "Michael Maurer and {Pestana Puerta}, Jesus and Friedrich Fraundorfer and Horst Bischof",

year = "2018",

month = oct,

day = "5",

language = "English",

note = "Workshop on Robotics for Logistics : IROS 2018 Workshop , IROS2018 Workshop on Robotics for Logistics ; Conference date: 05-10-2018 Through 05-10-2018",

url = "http://prisma.dieti.unina.it/index.php/events/552-robotics-for-logistics-in-warehouses-and-environments-shared-with-humans",

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TY - CONF

T1 - Towards an Autonomous Vision-based Inventory Drone

AU - Maurer, Michael

AU - Pestana Puerta, Jesus

AU - Fraundorfer, Friedrich

AU - Bischof, Horst

PY - 2018/10/5

Y1 - 2018/10/5

N2 - 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.

AB - 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.

KW - Aerial Robotics

KW - Computer Vision

KW - Control

KW - Autonomous Navigation

KW - Camera Drones

M3 - Poster

T2 - Workshop on Robotics for Logistics

Y2 - 5 October 2018 through 5 October 2018

ER -

Towards an Autonomous Vision-based Inventory Drone

Abstract

Workshop

Keywords

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