CAESARIS · Cognitive Airborne multisEnsor System for Aerial Reconnaissance Intelligence and Surveillance

CAESARIS project aims at developing a new, integrated security and search-and-rescue airborne solution conceived to detect people, both above visible and hidden behind opaque layers (like foliage, trailer covers, boat covers) or in darkness and reduced visibility conditions. This solution will work on board of an aerial vehicle making exhaustive and intelligent use of state-of-the-art sensors: Synthetic Aperture Radar (SAR) and Electro-Optical (EO) imagery in the visible range in an innovative way based on cognitive multispectral sensing.Considering the market opportunities in the field of security and search and rescue, CAESARIS team will develop a real-time configurable, plug-and-play and low Size, Weight and Power (SWaP) system that fulfils the requirements of the EU Security Agencies. Furthermore, CAESARIS will be able to detect and track targets on line of sight but also under opaque layers of materials (such as foliage, inside trucks, etc.) covering wide land and sea areas, 24/7, including bad weather conditions. Hence, the prime industrial objectives are:• Development of a reconfigurable SAR sensor;• Development of algorithms and software for the detection of targets hidden under non-transparent layers;• Development of a software system for the automatic control of the multispectral sensing hardware in a context-aware manner;• Development of a software module for the control of the cognitive multispectral sensing platform;• Development of a pilot airborne platform.CAESARIS project has been built following the natural commercial relationship among companies that join forces to develop innovative and ambitious products. Therefore, the SME's involved (Centum Solutions, MetaSensing, SmallGIS) take part in the project considering the complementary range of disciplines needed to develop CAESARIS concept. The RTD performers (Gradiant, Air Force Institute of Technology-ITWL, National Consortium for Telecommunications-CNIT) have been selected according to their key qualifications to meet project objectives and results and the complementarities between RTDs’ scientific excellence.