The advent of new sensors allows to create smaller and lighter inertial systems than ever before: thanks to their compact size, low cost and low power consumption, they can be installed on flying platforms such as UAV systems, to improve the reliability of autonomous navigation. The merging of the Inertial Reference System (IRS) and GNSS data through the Kalman filter gives a significantly improve to the autonomous navigation performance both in terms of accuracy and integrity. This paper is focused on the methods and techniques of GNSS integrated with an Inertial Reference System and their applications in UAV autonomous navigation systems.
E., P., T., G., Leccese, F. (2014). Lightweight GNSS/IRS Integrated Navigation System for UAV Vehicles. In 2014 IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2014 - Proceedings (pp.56-61). IEEE [10.1109/MetroAeroSpace.2014.6865894].
Lightweight GNSS/IRS Integrated Navigation System for UAV Vehicles
LECCESE, Fabio
2014-01-01
Abstract
The advent of new sensors allows to create smaller and lighter inertial systems than ever before: thanks to their compact size, low cost and low power consumption, they can be installed on flying platforms such as UAV systems, to improve the reliability of autonomous navigation. The merging of the Inertial Reference System (IRS) and GNSS data through the Kalman filter gives a significantly improve to the autonomous navigation performance both in terms of accuracy and integrity. This paper is focused on the methods and techniques of GNSS integrated with an Inertial Reference System and their applications in UAV autonomous navigation systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
