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This paper presents an algorithm for improving navigation performance of an Unmanned Aerial Vehicle (UAV) in GPS-challenging environments, which exploits aiding measurements from one or more cooperative UAVs flying under full GPS coverage. In particular, sensor fusion is based on an Extended Kalman Filter that integrates measurements from onboard inertial sensors and magnetometers, available GPS pseudoranges,...
This paper presents an algorithm for cooperative UAV navigation that exploits vision-based sensing, standalone GPS, differential GPS among antennas embarked on different flying platforms, and measurements obtained by inertial sensors and magnetometers. Unlike other cooperative navigation approaches, the developed technique is mainly aimed at improving navigation performance in outdoor environments,...
Contactless induction mechanisms represent a valuable solution to recharge battery-powered vehicles when plugging to the mains reveals troublesome or impossible. A relevant example is that of unmanned aerial vehicles (UAV) employed in hostile environments for persistent surveillance and perils reconnaissance. To complete long duration missions, these vehicles have to land on mobile platforms several...
This paper focuses on the application of ADS-B surveillance data as inputs for conflict detection algorithms, in order to support future self-separation as well as collision avoidance systems. In particular, an approach is here proposed for conflict detection between ownship and surrounding ADS-B OUT equipped aircraft, which uses traffic position and velocity data provided by the on-board ADS-B IN...
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