Abstract: The invention is a method for augmenting images with the predicted effectiveness of ordinance deployed or dropped at a specific aim point. The method uses JMEM data to calculate the predicted effectiveness of a selected weapon over an area surrounding the aimpoint and calculates the parameters for a graphical representation of the numerical results. Predicted effectiveness is displayed onto an overhead or perspective view image by overlaying with a series of ellipses, a variable color area, a variable transparency area, or some combination of the three.

Abstract: The invention is a method for displaying otherwise unseen atmospheric phenomenon using augmented reality (the mixing of real media with computer generated media). The method uses computer generated images to represent existing weather conditions and presents this data to the user by combining the computer generated images with the user's real environment. Computer generated images are used to represent such weather phenomenon as wake vortices, wind shear, and microbursts. These images are represented in such a way as to intuitively display relevant properties of the phenomenon to the system user, which increases the user's situational awareness and safety. The primary intended applications are for air traffic controllers and pilots to view these disturbances.

Abstract: The invention is a method for augmenting images to highlight regions where objects of interest are likely to appear. The method uses fuzzy set theory to classify locations that may contain objects of interest, uses fog volumes to represent the fuzzy sets in three dimensions, and renders these fog volumes from the vantage point of the image to provide a colored overlay with which to augment the image. Where fog volumes of different colors overlap in an image, the invention renders the overlapping area using cross-hatching, so that the multiple colors appear side by side rather than blending to make a third color.

Abstract: The invention is a method for displaying otherwise unseen atmospheric phenomenon using augmented reality (the mixing of real media with computer generated media). The method uses computer generated images to represent existing weather conditions and presents this data to the user by combining the computer generated images with the user's real environment. Computer generated images are used to represent such weather phenomenon as wake vortices, wind shear, and microbursts. These images are represented in such a way as to intuitively display relevant properties of the phenomenon to the system user, which increases the user's situational awareness and safety. The primary intended applications are for air traffic controllers and pilots to view these disturbances.

Abstract: A system is presented for an “internetworked augmented reality (AR) system” which consists of one or more Local Stations (which may be AR or Non-AR, at least one of which must be AR) and one or more Remote Stations (RS) (which may be AR or Non-AR) networked together. RSs can provide resources not available at a Local AR Station (LARS): databases, high performance computing (HPC), and methods by which a human can interact with the person(s) at the LARS(s). Preferred embodiments are presented: Training: a trainee is located at a LARS, while the instructor, located at a RS, monitors and controls training. Maintenance: the operator performs tasks at the LARS, while information and assistance is located at the RS. HPC: the LARS user visualizes results of computations performed remotely. Online shopping: shoppers evaluate virtual representations of real products, in the real setting in which they will be used.