UNIPR will contribute mainly to the design and implementation of robust localization algorithms and robust drone communication systems.

In particular, regarding the first aspect, UNIPR will contribute to the definition of requirements for data processing algorithms for environmental perception, in terms of UAV localization (combining GNSS, inertial, and radio-based information), and for data formatting for efficient transmission. UNIPR will contribute to the design and implementation of robust localization algorithms, based on real-time fusion of GNSS-based, IMU-based inertial, and radio-based location information. In particular, the algorithms developed by UNIPR will rely on both classical (e.g., Kalman filtering) and Artificial Intelligence (AI)-oriented techniques. UNIPR will implement the multi-sensor data fusion algorithms for efficient environmental perception developed, in COTS embedded systems). UNIPR will assist industrial partners in the integration activities, related to the algorithms developed by UNIPR for Demonstrator 1 (Environment perception algorithms for Radar, Lidar, TOF camera and camera) and will support then in the demonstration of the developed functionalities in a Demonstrator.