Northrop Grumman Systems Corporation

Robert Lindeman

Neil Gilbert Siegel

Systems and methods are provided for graphically representing uncertainty in an assisted decision-making application. A database contains a class vector for each of a plurality of objects of interest. A given class vector includes a plurality of possible classes for its associated object of interest and a corresponding set of confidence values. The database also contains a set of assumptions associated with each confidence value. A user interface displays a plurality of graphics representing the objects of interest. A given graphic includes a set of at least two class icons, each corresponding to one of the plurality of classes associated with its corresponding object of interest. The graphic also includes a qualitative indication of the confidence values associated with the set of classes. The assumptions associated with a given confidence value are retrievable by a user by selecting the class icon associated with the confidence value.

System and method for graphically representing uncertainty in an assisted decision-making system

Systems and methods are provided for filtering detected events to determine events of interest. A sensor data analysis system identifies a plurality of detected events from provided sensor data and evaluates the sensor data to determine at least one characteristic associated with each event. The sensor data analysis system reports the plurality of detected events and their associated characteristics. At least one affiliated event generator is operative to generate at least one affiliated event and produce at least one event report. A given event report provides at least one characteristic associated with an affiliated event. An event filtering system compares the at least one event report to the detected events to identify at least one affiliated event amongst the plurality of detected events.

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Centennial, CO, United States of America

Robert Lindeman