Abstract: A terrain elevation data generation method includes: obtaining, at an apparatus, a low-resolution data set corresponding to a geographic area and comprising a plurality of low-resolution terrain elevation values corresponding to first locations within the geographic area; and applying, at the apparatus, the plurality of low-resolution terrain elevation values to a resolution enhancing model to produce a plurality of higher-resolution terrain elevation values corresponding to second locations within the geographic area, a second quantity of the second locations within the geographic area being higher than a first quantity of the first locations within the geographic area.

Abstract: A terrain elevation data generation method includes: obtaining, at an apparatus, a low-resolution data set corresponding to a geographic area and comprising a plurality of low-resolution terrain elevation values corresponding to first locations within the geographic area; and applying, at the apparatus, the plurality of low-resolution terrain elevation values to a resolution enhancing model to produce a plurality of higher-resolution terrain elevation values corresponding to second locations within the geographic area, a second quantity of the second locations within the geographic area being higher than a first quantity of the first locations within the geographic area.

Abstract: A terrain elevation data generation method includes: obtaining, at an apparatus, a low-resolution data set corresponding to a geographic area and comprising a plurality of low-resolution terrain elevation values corresponding to first locations within the geographic area; and applying, at the apparatus, the plurality of low-resolution terrain elevation values to a resolution enhancing model to produce a plurality of higher-resolution terrain elevation values corresponding to second locations within the geographic area, a second quantity of the second locations within the geographic area being higher than a first quantity of the first locations within the geographic area.

Abstract: This disclosure is directed to methods, computer program products, and systems for providing surface vehicle tracking data, including indications of potential collision zones, to an airport map display system onboard an aircraft. In one example, a method includes identifying historical navigation route data, aerodrome guidance features, and a predicted path of a first vehicle. The method further includes determining predicted positions along the predicted path and determining predicted positions of a second vehicle and comparing vehicle envelopes for the two vehicles to determine a predicted collision zone of the vehicles.

Abstract: A terrain elevation data generation method includes: obtaining, at an apparatus, a low-resolution data set corresponding to a geographic area and comprising a plurality of low-resolution terrain elevation values corresponding to first locations within the geographic area; and applying, at the apparatus, the plurality of low-resolution terrain elevation values to a resolution enhancing model to produce a plurality of higher-resolution terrain elevation values corresponding to second locations within the geographic area, a second quantity of the second locations within the geographic area being higher than a first quantity of the first locations within the geographic area.

Abstract: A method of monitoring network traffic of a connected vehicle. The method includes receiving network traffic information from a vehicle gateway, the network traffic information including malicious and/or benign information. The method also includes storing the network traffic information on a data server and periodically updating the network traffic information stored on the data server.

Abstract: A method of monitoring network traffic of a connected vehicle. The method includes receiving network traffic information from a vehicle gateway, the network traffic information including malicious and/or benign information. The method also includes storing the network traffic information on a data server and periodically updating the network traffic information stored on the data server.

Abstract: This disclosure is directed to methods, computer program products, and systems for providing surface vehicle tracking data, including indications of potential collision zones, to an airport map display system onboard an aircraft. In one example, a method includes identifying historical navigation route data, aerodrome guidance features, and a predicted path of a first vehicle. The method further includes determining predicted positions along the predicted path and determining predicted positions of a second vehicle and comparing vehicle envelopes for the two vehicles to determine a predicted collision zone of the vehicles.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for vehicle collision notification and avoidance. One system may include attaching at least one camera to a vehicle, receiving vehicle information and geographic information regarding the vehicle and at least one other vehicle. The system may also include predicting a next position of the vehicle and the other vehicle, and determine whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle and the next position of the other vehicle. The system may also include generating a graphical representation of the collision of the vehicle and the other vehicle and may transmit the graphic representation to a user device.

Abstract: A system for detecting aircraft trajectory anomalies during takeoff or landing is configured to: identify, from a clearance message directed to a first aircraft, an approved runway and an approved landing or takeoff procedure; select a runway-specific trained model appropriate for the approved procedure, the selected trained model having been trained with historical track data from other aircraft performing the approved procedure in connection with the approved runway, the selected trained model configured to provide an expected trajectory for an aircraft during performance of the approved procedure in connection with the approved runway; receive aircraft state information from the first aircraft during performance of the approved procedure; monitor and compare the received aircraft state information to the expected trajectory from the trained model; identify an anomaly and generate an alert when the trajectory of the first aircraft deviates from the expected trajectory by more than a predetermined threshold

Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for vehicle collision notification and avoidance. One system may include attaching at least one camera to a vehicle, receiving vehicle information and geographic information regarding the vehicle and at least one other vehicle. The system may also include predicting a next position of the vehicle and the other vehicle, and determine whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle and the next position of the other vehicle. The system may also include generating a graphical representation of the collision of the vehicle and the other vehicle and may transmit the graphic representation to a user device.

Abstract: A method for validating an operational flight path of an aircraft has been developed. First, a flight path for the aircraft is created using navigation, terrain and obstacle data retrieved from off-line databases. Next, real-time terrain and obstacle update information is captured from flight data sensors on board the aircraft while in flight. Also, light direction and range (LIDAR) data from LIDAR sensors on board the aircraft is collected. A boundary profile is calculated for the flight path based upon the real-time terrain and obstacle update information in combination with the LIDAR data. The flight path is validated using the boundary profile. The results of the validation of the flight path is generated as a report for the aircraft crew.

Abstract: A method for validating an operational flight path of an aircraft has been developed. First, a flight path for the aircraft is created using navigation, terrain and obstacle data retrieved from off-line databases. Next, real-time terrain and obstacle update information is captured from flight data sensors on board the aircraft while in flight. Also, light direction and range (LIDAR) data from LIDAR sensors on board the aircraft is collected. A boundary profile is calculated for the flight path based upon the real-time terrain and obstacle update information in combination with the LIDAR data. The flight path is validated using the boundary profile. The results of the validation of the flight path is generated as a report for the aircraft crew.