DeepFrame: Deep Learning based simulation framework for System of Systems (SoS)

A useful and usable Simulation Environment (SIMEN) is a combination of multiple disparate M&S tools which work harmoniously to serve the needs of a systems engineer. The process of creating such a single standardized environment introduces a host of engineering and research challenges that needs to be addressed so that a simulation environments can be put together rapidly from existing M&S tools.To address this need, Intelligent Automation Inc. (IAI) propose a novel, integrated, sufficient-fidelity Deep Learning based simulation framework for System of Systems (SoS) called DeepFrame. By the end of Phase I, IAI team will demonstrate the feasibility of the Proof of concept DeepFrame tool. DeepFrame will provide a capability to bring disparate models together into a single simulation environment.IAI team with help from AFRL Layered Sensing Exploitation Division will develop at least one use case that will be comprised of radar, SAR, electro optical (camera), tracking and possibly other sensor subsystem models from varying MBE toolsets. This will lay a solid framework for Phase II in which we plan to develop all aspects of DeepFrame into a functional prototype software tool with demonstrated ability to integrate disparate codebases with minimal human intervention.