"In Phase I, Kutta hypothesized multiple Latency Improvement Algorithms (LIAs) for the control of Electro-Optical and Infrared payloads onboard Unmanned Aerial Vehicles. Through an extensive human factors study within a representative simulated environment, Kuttas researchers proved their hypotheses and, in many cases, saw a 50% or more improvement in effectiveness among the participants. In Phase II, Kutta incorporates the LIAs in a hybrid model that allows for intelligent decision aiding based upon the measured latency in the system. Additionally, Kuttas plans call for integrating new features that involve moving target tracking and video mosaics in an innovative fashion to increase the users situational awareness and keep the user focused on the task at hand. Once all the LIAs are incorporated into the system, Kutta initiates another human factors study to gather metrics on how much the discrete LIAs improve payload control when they are intelligently triggered and managed by the consent of the user. The Phase II culminates in a demonstration of the prototype algorithms and a summary of the lessons learned throughout the Phase II. To commercialize the efforts, Kutta works with large prime contractors, government agencies, and commercial organizations to integrate the LIAs into existing systems."
Keywords: "latency, Eo/Ir Payload, Uas, Uav, Control, Bdrvt, Osrvt, Target Tracking"
