ARESIBO aims at improving the efficiency of the border surveillance systems by providing the operational teams and the tactical command and control level with accurate and comprehensive information. The pillars of research in ARESIBO are three-fold:
- Set-up a complete configuration at tactical and execution level to optimise the collaboration between human and sensors (fixed and mobile assets),
- Improve situation awareness by enhancing the understanding of the situation through adapted processing of sensor data, correlation between heterogeneous data and information and creation of knowledge through deep learning techniques and
- Create a situation awareness capability at C2 level that will combine reports on previous missions, real-time situation understanding and threat analysis for future actions.