Abstract: A rare event detector can calculate a temporal segmentation pattern based on historical time-series data of historical telemetry streams from a first time period. The temporal segmentation pattern includes historical temporal segments. The system can identify sets of predicted events associated with the historical temporal segments based on the historical telemetry streams. The system can calculate dynamic limits for the respective historical temporal segments based on the shapes. The system can identify a set of active temporal segments of an incoming telemetry stream that correspond to a subset of the historical temporal segments. The active temporal segments are from a second time period after the first time period. The system can detect a rare event for an active temporal segment of the set of active temporal segments in response to the incoming telemetry stream exceeding the dynamic limits for a historical temporal segment corresponding to the active temporal segment.

Abstract: A rare event detector can calculate a temporal segmentation pattern based on historical time-series data of historical telemetry streams from a first time period. The temporal segmentation pattern includes historical temporal segments. The system can identify sets of predicted events associated with the historical temporal segments based on the historical telemetry streams. The system can calculate dynamic limits for the respective historical temporal segments based on the shapes. The system can identify a set of active temporal segments of an incoming telemetry stream that correspond to a subset of the historical temporal segments. The active temporal segments are from a second time period after the first time period. The system can detect a rare event for an active temporal segment of the set of active temporal segments in response to the incoming telemetry stream exceeding the dynamic limits for a historical temporal segment corresponding to the active temporal segment.

Abstract: A method of determining the angular orientation of headgear is described. The headgear has tracking points being at least four tracking points, the relative position of the tracking points is calibrated and stored as relative position information, each of the tracking points comprises an infra-red (IR) reflective point. Light reflected from at least some of the tracking points of the headgear is filtered to allow only light in an IR wavelength band to pass. The filtered IR light is imaged to provide a detected image including at least some of the tracking points. At least some of the tracking points in the detected image are identified, and the position of the identified tracking points in the detected image is determined. The angular orientation of the headgear is determined in multiple different angular directions based on the stored relative position information and the position of the identified tracking points.

Abstract: A display distortion correction system and method is for a worn display. The worn display includes an image display. The display distortion correction system includes an eye tracking system configured to provide an eye parameter related to viewing the image display, a memory for storing a distortion map, and a processor configured to provide a distortion map. The processor is configured to provide a first test pattern on the image display, record a first set of eye positions associated with viewing the first test pattern, and provide the distortion map in response to the first set of eye positons.

Abstract: A system and method can mitigate or prevent contrast ratio issues due to bright light (e.g., light saturation) in a head up display (HUD). The head up display can include a waveguide combiner (or non-waveguide combiner) and a mitigator disposed to prevent or reduce bright light from being provided through the combiner. The bright light can be direct lunar light, direct solar light, or solar/lunar reflections. The mitigator dynamically selects and reduces bright background light which results in an increase of contrast ratio.