Abstract: A runway overrun prediction system for an aircraft includes a doppler wind measurement system and a runway overrun awareness and alerting system (ROAAS). The doppler wind measurement system is disposed at least partially within the aircraft. The doppler wind measurement system is configured to continuously measure a doppler signature of a wind field over an estimated touchdown zone on a runway ahead of the aircraft and supply wind data representative of the doppler signature. The ROAAS is disposed within the aircraft and is configured to determine a ROAAS model distance (RMD) for the aircraft. The ROAAS is in operable communication with the doppler wind measurement system and is coupled to receive the wind data therefrom. The ROAAS is further configured, upon receipt of the wind data, to adjust the RMD for the aircraft based on the wind data.

Abstract: A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer.

Abstract: In one embodiment, a vehicle is provided. The vehicle comprises a vehicle sensor processing system; at least one vehicle sensor, coupled to the vehicle sensor processing system, which is susceptible to shadow regions; wherein the vehicle sensor processing system is configured to be coupled to a vehicle communications system; and wherein the vehicle sensor system is configured to remotely obtain data about a shadow region in the geographic region.

Abstract: A method of gathering and distributing critical weather event information is provided. The method includes monitoring for critical weather events based on defined critical weather event thresholds with an onboard producer weather detection unit of at least one producer vehicle. The critical weather event thresholds are dynamically reconfigured based at least in part on consumption needs of the consumer vehicle. The detected critical weather event and associated time stamp and geolocation information are communicated to a base station. The detected critical weather event is fused with other weather data at the base station to produce a unified weather event image that includes the detected critical weather event. Prediction algorithms are applied to the unified weather event image and are parsed into predefined grid cells of a geo-spatial grid. The predicted weather data is up-linked to a consumer vehicle anticipated to travel within at least one grid cell of the geo-spatial grid.

Abstract: A method of gathering and distributing critical weather event information is provided. The method includes monitoring for critical weather events based on defined critical weather event thresholds with an onboard producer weather detection unit of at least one producer vehicle. The critical weather event thresholds are dynamically reconfigured based at least in part on consumption needs of the consumer vehicle. The detected critical weather event and associated time stamp and geolocation information are communicated to a base station. The detected critical weather event is fused with other weather data at the base station to produce a unified weather event image that includes the detected critical weather event. Prediction algorithms are applied to the unified weather event image and are parsed into predefined grid cells of a geo-spatial grid. The predicted weather data is up-linked to a consumer vehicle anticipated to travel within at least one grid cell of the geo-spatial grid.

Abstract: A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer.