Deployable Intelligent Projection Systems for Training

Renaissance Sciences Corporation, the University of North Carolina at Chapel Hill, and Night Readiness, LLC propose to demonstrate the feasibility of enhanced integrated pose estimation technologies for intelligent projector units (IPUs) that will improve the robustness and overall capabilities of deployable training systems based on IPUs. The IPUs cooperate to create a single seamless wide-area (panoramic) image as part of a deployable visual training system for multiple viewers. The IPUs outwardly look like conventional digital projectors, but when casually arranged together in a set that projects in a common direction, will automatically collaborate to create one panoramic image. The IPUs will self-calibrate their respective geometric and photometric relationships, and then continually and automatically estimate and correct geometric and photometric errors to maintain a single, seamless, high-fidelity image for multiple distinct viewers. Currently available projector technologies do not offer this user-friendly capability of creating multi-tiled, self-calibrating displays that compensate for errors resulting from using multiple projectors. In fact, current technology requires detailed and expensive manual labor to achieve such display arrangements, which is not only inefficient, but also cost-prohibitive when needed in deployable and changing settings.