Università degli Studi di Udine (UniUd) has consolidated experience in: mobile devices; context-aware and IoT systems (SMDC Lab); artificial vision (surveillance, event analysis, object detection, recognition and tracking, active network reconfiguration); audio signal processing and recognition; data fusion (AVIRES Lab) with applications to drones and remotely piloted/autonomous robots (Autonomous Systems Lab).
UniUd will:
- interact with INM to interface the Autonomous Surface Vehicle and sensors with the software layers that will be responsible to send the sensorial data to the cloud and to receive and execute commands.
- design and implement the IoT software needed to store, analyse and present the data.
- design and implement Computer Vision methods for Autonomous Localisation Techniques (ALT).
- design and implement a set of mobile apps devoted to the monitoring of the Autonomous Surface Vehicle and to the dissemination and citizen science.