Fielding Artificial Intelligence techniques for radar object behavior analysis on High Performance Computing (HPC) hardware

摘要

The ultimate goal of this effort is to improve the ability to determine suspicious radar track behavior and suspicious areas to focus attention on. We are developing a framework for representing the knowledge and human-quality reasoning required to process large quantities of radar data, transforming it into a form that can be efficiently executed in real time on an HPC system, and then efficiently executing it given the actual dynamic tactical situation. In addition to being scalable up to a large number of pixels and objects, it should also be adaptable both in the long term to different HPC configurations and in real time to different dynamic computational loads.