UAVs for Medicine Delivery in a Smart City Using Fiducial Markers

Drone delivery has gained increasing importance in the past few years. Recent technology advancements have allowed us to think of systems capable of transporting and delivering goods precisely and efficiently. However, in order to switch from a test environment to a real environment, many open issue...

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Main Authors: Eros Innocenti, Giacomo Agostini, Romeo Giuliano
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/13/10/501
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author Eros Innocenti
Giacomo Agostini
Romeo Giuliano
author_facet Eros Innocenti
Giacomo Agostini
Romeo Giuliano
author_sort Eros Innocenti
collection DOAJ
description Drone delivery has gained increasing importance in the past few years. Recent technology advancements have allowed us to think of systems capable of transporting and delivering goods precisely and efficiently. However, in order to switch from a test environment to a real environment, many open issues need to be addressed. In this paper, we focused on drop-off point localization based on fiducial markers, analyzing different systems and the configuration of different aspects. We tested our system in a real-world environment and drew conclusions which lead us to identify the most reliable fiducial system and family for this use case.
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spelling doaj.art-e97674184045401ca0ade21ba16e7ca72023-11-24T00:36:19ZengMDPI AGInformation2078-24892022-10-01131050110.3390/info13100501UAVs for Medicine Delivery in a Smart City Using Fiducial MarkersEros Innocenti0Giacomo Agostini1Romeo Giuliano2Department of Engineering Science, Guglielmo Marconi University, Via Plinio 44, 00198 Rome, ItalyDepartment of Engineering Science, Guglielmo Marconi University, Via Plinio 44, 00198 Rome, ItalyDepartment of Engineering Science, Guglielmo Marconi University, Via Plinio 44, 00198 Rome, ItalyDrone delivery has gained increasing importance in the past few years. Recent technology advancements have allowed us to think of systems capable of transporting and delivering goods precisely and efficiently. However, in order to switch from a test environment to a real environment, many open issues need to be addressed. In this paper, we focused on drop-off point localization based on fiducial markers, analyzing different systems and the configuration of different aspects. We tested our system in a real-world environment and drew conclusions which lead us to identify the most reliable fiducial system and family for this use case.https://www.mdpi.com/2078-2489/13/10/501unmanned aerial vehiclefiducial markersmart citypacket delivery in urban environment
spellingShingle Eros Innocenti
Giacomo Agostini
Romeo Giuliano
UAVs for Medicine Delivery in a Smart City Using Fiducial Markers
Information
unmanned aerial vehicle
fiducial marker
smart city
packet delivery in urban environment
title UAVs for Medicine Delivery in a Smart City Using Fiducial Markers
title_full UAVs for Medicine Delivery in a Smart City Using Fiducial Markers
title_fullStr UAVs for Medicine Delivery in a Smart City Using Fiducial Markers
title_full_unstemmed UAVs for Medicine Delivery in a Smart City Using Fiducial Markers
title_short UAVs for Medicine Delivery in a Smart City Using Fiducial Markers
title_sort uavs for medicine delivery in a smart city using fiducial markers
topic unmanned aerial vehicle
fiducial marker
smart city
packet delivery in urban environment
url https://www.mdpi.com/2078-2489/13/10/501
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AT giacomoagostini uavsformedicinedeliveryinasmartcityusingfiducialmarkers
AT romeogiuliano uavsformedicinedeliveryinasmartcityusingfiducialmarkers