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Mclean, VA, United States

Exelis | Date: 2015-08-19

An augmented reality control system in which the generation and utilization of simple geometric forms of real world objects at the enterprise level are layered onto or based on real world objects. Digital data is aligned to real world objects via surrogate of simplified geometric forms.

A technique for determining the position of a mobile device includes receiving messages from respective mobile reference devices. Each of the messages is broadcast beginning at one of several predetermined message start opportunity (MSO) times that have known timings relative to a reference time. Each of the messages contains a MSO value identifying the MSO time at which transmission of the message started. The MSO value is used to determine the time of transmission of each of the messages received at the mobile device, and the position of the mobile device is determined via multi-lateration. According to another approach, the mobile device receives a set of ADS-B messages from a respective set of mobile reference devices. The time of transmission of each of the ADS-B messages is supplied in the ADS-B message itself or in a subsequent message and used to determine the position of the mobile device.

Exelis | Date: 2013-03-14

Sensor data indicative of a users environment is received from a sensor. A video signal is generated which comprises a visual representation of the sensor data. The video signal is combined with a night vision view of the users environment to overlay the visual representation of the sensor data over the nigh vision view of the users environment. The overlaid night vision view of the users environment is displayed to the user.

During data resampling, bad samples are ignored or replaced with some combination of the good sample values in the neighborhood being processed. The sample replacement can be performed using a number of approaches, including serial and parallel implementations, such as branch-based implementations, matrix-based implementations, and function table-based implementations, and can use a number of modes, such as nearest neighbor, bilinear and cubic convolution.

By utilizing scene metrics in an image processing system (such as night vision goggles or a camera), a setpoint controller can set a setpoint used by a gain controller. Using the setpoint and an average video level of a frame, the gain controller can set gain control signals sent to an image sensor and/or a high voltage power supply to adaptively adjust for higher and lower light scenarios. Scene metrics can include an amount of saturation in a frame, a number or percentage of pixels above a first threshold and a number or percentage of pixels below a second threshold.

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