Multi-Phenomenology Sensing and Sensor Control in Unmanned Intelligence Vehicle (UIV) for ATR and Tracking of Dismounts and Vehicles

Information Systems Laboratories (ISL) and DMT LLC are pleased to propose an SBIR program to develop an advanced sensor system for an Unmanned Intelligence Vehicle (UIV). The proposed Phase I effort focuses on the cooperation and interaction potential offered by multi-sensor phenomenology and intelligent sensor control to enable autonomous persistent track of targets in urban areas. The project entails detailed characterization of available sensors and sensor types to fully understand their capability, size, weight, and power (SWAP), cost, and availability. These sensors will include GMTI radar, EO/IR systems, Hyperspectral Imaging Systems, and SIGINT systems. Algorithms for sensor fusion and tracking performance improvement through automatic target recognition will be identified and evaluated. The most promising algorithms and techniques will be recommended for implementation in a Phase II demonstration. A concept of operations (CONOPS) will be developed which includes persistent surveillance capability for counter IED as well as intelligence gathering and operations support missions.