| Title |
UAVs for Medicine Delivery in a Smart City Using Fiducial Markers |
| ID_Doc |
38141 |
| Authors |
Innocenti, E; Agostini, G; Giuliano, R |
| Title |
UAVs for Medicine Delivery in a Smart City Using Fiducial Markers |
| Year |
2022 |
| Published |
Information, 13, 10 |
| DOI |
10.3390/info13100501 |
| Abstract |
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. |
| Author Keywords |
unmanned aerial vehicle; fiducial marker; smart city; packet delivery in urban environment |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000873396400001 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
https://www.mdpi.com/2078-2489/13/10/501/pdf?version=1666078977
|