This paper presents the outline of a research project based on the development of a robust collision detection strategy that is based on advanced data fusion and decision making approach. It will be used with any type of sensor, with different performance levels. This project is the framework for a PhD grant funded by EUROCONTROL in the mainframe of the activities of the WP-E of SESAR. In particular, it is related to the research network named HALA!
Exploiting Innovative Sensor Data Fusion Strategies for Sense and Avoid Units to be Installed onboard Unmanned Aerial Systems / Tirri, ANNA ELENA; Fasano, Giancarmine; Accardo, Domenico; Moccia, Antonio. - ELETTRONICO. - (2011), pp. 162-163. (Intervento presentato al convegno ATACCS’2011 1st International Conference on Application and Theory of Automation in Command and Control Systems tenutosi a Barcelona, Spain nel 26-27 May 2011).
Exploiting Innovative Sensor Data Fusion Strategies for Sense and Avoid Units to be Installed onboard Unmanned Aerial Systems
TIRRI, ANNA ELENA;FASANO, GIANCARMINE;ACCARDO, DOMENICO;MOCCIA, ANTONIO
2011
Abstract
This paper presents the outline of a research project based on the development of a robust collision detection strategy that is based on advanced data fusion and decision making approach. It will be used with any type of sensor, with different performance levels. This project is the framework for a PhD grant funded by EUROCONTROL in the mainframe of the activities of the WP-E of SESAR. In particular, it is related to the research network named HALA!I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
