Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Anna Elena Tirri"'
Publikováno v:
Drones, Vol 8, Iss 11, p 641 (2024)
Climate change is becoming a worldwide emergency. In order to prevent catastrophic levels of climate change, three broad categories of action are ongoing: cutting emissions, adapting to climate impacts, and financing required adjustments. Cutting emi
Externí odkaz:
https://doaj.org/article/093f1d6d48564d38986da697b144ee33
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Obstacle detection and tracking is a key function for UAS sense and avoid applications. In fact, obstacles in the flight path must be detected and tracked in an accurate and timely manner in order to execute a collision avoidance maneuver in case of
Externí odkaz:
https://doaj.org/article/4e5930d28adf46a19f75d959c8399085
Autor:
Mauro D'Arco, Alessandro Fioretti, Giancarlo Rufino, Egidio Di Benedetto, Luca Borrelli, Tamara Pasqualina Russo, Ludovico Di Pineto, Giancarmine Fasano, Leopoldo Angrisani, Anna Elena Tirri, Domenico Accardo
The scope of the present work is to illustrate the main idea and the realization process at the basis of Flying Outfit for Control of Unsafe Seagulls FOCUS project. The project has been realized by a consortium of companies in collaboration with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52cc2db56880217acaf0870bb100d3c5
http://hdl.handle.net/11588/815895
http://hdl.handle.net/11588/815895
Feasibility studies for airport facilities require quantitative assessment of the effects of the routine operations on the area surrounding the planned installation. In some countries such analyses are mandatory and the targets for which the effects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb658c0439a577e660f7b0ca81e45303
http://hdl.handle.net/11585/655863
http://hdl.handle.net/11585/655863
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 31:6-14
This article summarized processing approaches and presented an experimental analysis of the levels of situational awareness relevant to different sensing architectures for non-cooperative sense and avoid, based on standalone radar, standalone EO, and
Publikováno v:
Journal of Intelligent & Robotic Systems. 84:121-144
A customized detection and tracking algorithm for vision-based non cooperative UAS sense and avoid aimed at obstacles approaching from above the horizon is presented in this paper. The proposed approach comprises two main steps. Specifically, the fir
Publikováno v:
Aerospace Science and Technology. 46:436-450
This paper focuses on hardware/software implementation and flight results relevant to a multi-sensor obstacle detection and tracking system based on radar/electro-optical (EO) data fusion. The sensing system was installed onboard an optionally pilote
Autor:
Domenico Accardo, Enrico Franco, Nicola Farina, Anna Elena Tirri, Desiree Gentilini, Leopoldo Angrisani, Rosario Schiano Lo Moriello
Publikováno v:
RTSI
The paper is based on the definition of a path planning strategy for surveillance missions with a system of multiple Unmanned Aircraft by means of a Kalman Filter technique. The developed method aims at finding a set of commands for the network of ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc334bffafbf3adf9bbae32174c857b
http://hdl.handle.net/11588/666674
http://hdl.handle.net/11588/666674
The paper focuses on research results relevant to non-cooperative sense and avoid based on different sensing architectures and algorithms. In particular, first a radar/electro-optical system is presented where real time data fusion is based on a cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04e53ea155f99220b01ab1e32f334f2d
http://hdl.handle.net/11588/585251
http://hdl.handle.net/11588/585251
This paper presents a customized detection and tracking algorithm for vision-based non cooperative UAS sense and avoid. Obstacle detection and tentative tracking for track confirmation are based on top-hat and bottom-hat morphological filtering, loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f063fd4a9f02c2a59c836f6bff681a
http://hdl.handle.net/11588/581837
http://hdl.handle.net/11588/581837