The Future Combat Air System (FCAS) is a collaborative effort between Dassault Aviation, Airbus, and Indra Sistemas to develop a combat system of systems that includes a Next-Generation Weapon System (NGWS) comprising remote carrier vehicles and a New Generation Fighter (NGF). The NGWS requires optimization for sensor suite usage, learning with few examples or guided learning, massive synthetic image production, incremental database enrichment with novelty integration, change analysis, and abnormal behavior detection.
On the basis of several use cases describing:
The solution should propose and evaluate planning and optimization techniques under constraints. It should be CPU efficient, improve the success rate of the mission, be modular and scalable, and if possible explainable, and/or capable of proposing alternative plans, with possible human intervention.
The solution concerns the SAR/OPTRO cooperation in aerial to ground imagery, to realign the images, and improve the detection of objects of interest.
To do this, it is necessary to massively simulate optronic and SAR images corresponding to the same scenes and with the same objects in a large variability of contexts, so as to be able to train machine learning algorithms.