Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Alessio Mecca"'
Autor:
Danilo Avola, Luigi Cinque, Emad Emam, Federico Fontana, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
IEEE Access, Vol 12, Pp 125332-125357 (2024)
During the flight, Unmanned Aerial Vehicles (UAVs) usually exploit internal sensors to determine their position. The most useful and used one is the Global Positioning System (GPS), or, more in general, any Global Navigation Satellite System (GNSS).
Externí odkaz:
https://doaj.org/article/bb3ce995eb2e4b94a3e414bc235f8c9e
Autor:
Danilo Avola, Luigi Cinque, Gian Luca Foresti, Romeo Lanzino, Marco Raoul Marini, Alessio Mecca, Francesco Scarcello
Publikováno v:
Sensors, Vol 23, Iss 5, p 2655 (2023)
During flight, unmanned aerial vehicles (UAVs) need several sensors to follow a predefined path and reach a specific destination. To this aim, they generally exploit an inertial measurement unit (IMU) for pose estimation. Usually, in the UAV context,
Externí odkaz:
https://doaj.org/article/dc078261017f449f9b130aa2410c2219
Autor:
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Romeo Lanzino, Maurizio Mancini, Alessio Mecca, Daniele Pannone
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4110 (2022)
The last two decades have seen an incessant growth in the use of Unmanned Aerial Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to support civilian and military tasks, including land monitoring, change detection,
Externí odkaz:
https://doaj.org/article/74783ab336fb421598e685eedc35509b
Autor:
Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Information, Vol 13, Iss 1, p 2 (2021)
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite
Externí odkaz:
https://doaj.org/article/0f123e680dc34b00b108660b71a65289
Autor:
Danilo Avola, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Alessio Mecca, Daniele Pannone, Claudio Piciarelli
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1670 (2021)
Tracking objects across multiple video frames is a challenging task due to several difficult issues such as occlusions, background clutter, lighting as well as object and camera view-point variations, which directly affect the object detection. These
Externí odkaz:
https://doaj.org/article/ab78694468e540bd9bace0bb6c9b5484
Autor:
Simone Antonelli, Danilo Avola, Luigi Cinque, Donato Crisostomi, Gian Luca Foresti, Fabio Galasso, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
ACM Computing Surveys. 54:1-37
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by leveraging large amounts of data. However, they could fail when the retrieved information is not enough to fit the vast numb
Autor:
Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Information, Vol 13, Iss 2, p 2 (2022)
Information; Volume 13; Issue 1; Pages: 2
Information; Volume 13; Issue 1; Pages: 2
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite
Publikováno v:
ACM Computing Surveys. 54:1-38
Ultrasound (US) imaging for medical purposes has been increasing in popularity over the years. The US technology has some valuable strengths, such as it is harmless, very cheap, and can provide real-time feedback. At the same time, it has also some d
Autor:
Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f58d4b8b391879e53d8cf9729c70b20
https://doi.org/10.1007/978-3-031-06427-2_41
https://doi.org/10.1007/978-3-031-06427-2_41
Autor:
Claudio Piciarelli, Alessio Fagioli, Anxhelo Diko, Luigi Cinque, Danilo Avola, Alessio Mecca, Gian Luca Foresti, Daniele Pannone
Publikováno v:
Remote Sensing, Vol 13, Iss 1670, p 1670 (2021)
Remote Sensing; Volume 13; Issue 9; Pages: 1670
Remote Sensing; Volume 13; Issue 9; Pages: 1670
Tracking objects across multiple video frames is a challenging task due to several difficult issues such as occlusions, background clutter, lighting as well as object and camera view-point variations, which directly affect the object detection. These