An Integrated Decision Support System Based on the Human OODA Loop

In this talk we present our works on decision support systems. The proposed decision support process follows the human decision making processing, namely, the observe-orient-decide-action (OODA) loop structure. The observe component consists of the sensing functions including object detection, target tracking, object recognition, and sensor fusion. The second part of the proposed decision support system is the orient function, which carries out operations such as situation assessment and treat evaluation. Based on the assessment, the system will try to decide if the uncertainty is high, actions including resource allocation, and planning will be performed so that the system can try to make a better decision. A goal-driven net-enabled distributed sensing for large area surveillance will be used for illustration. Multiple platforms including mobile such as maritime patrol aircraft, helicopters, unmanned aerial vehicles, and ships and fixed surveillance assets such as land radar are deployed to identify, assess and track moving, static or drifting objects in a large geographic area. A simultaneous registration, association and fusion method is proposed for lower level information fusion, and machine intelligence is applied for situation assessment and path planning. We will also demonstrate the application of the proposed OODA loop decision support system to robotics.