PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn this paper we present a car detection system prototyped within an experimental project. It analyzes video streams recorded by drones flying over an urban environment. The intended final goal is the automatic provision of helpful information, such as the available parking spaces and the level of congestion of the streets. The system has been tested both in a desktop PC and on an embedded system. The experimental results show a significant accuracy and prove the feasibility of novel on-board services.
A drone-based image processing system for car detection in a smart transport infrastructure / Maria, Gabriele; Baccaglini, Enrico; Brevi, D.; Gavelli, M.; Scopigno, Riccardo. - ELETTRONICO. - (2016), pp. 1-5. ((Intervento presentato al convegno IEEE 18th Mediterranean Electrotechnical Conference (MELECON) tenutosi a Cyprus nel 18-20 April 2016.
| Titolo: | A drone-based image processing system for car detection in a smart transport infrastructure |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Abstract: | In this paper we present a car detection system prototyped within an experimental project. It ana...lyzes video streams recorded by drones flying over an urban environment. The intended final goal is the automatic provision of helpful information, such as the available parking spaces and the level of congestion of the streets. The system has been tested both in a desktop PC and on an embedded system. The experimental results show a significant accuracy and prove the feasibility of novel on-board services. |
| ISBN: | 978-1-5090-0058-6 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11583/2644953
Copyright © 2020