Abstract: An example system includes at least two transceivers configured to be coupled to an interior of a cargo compartment of an aircraft, and to detect radio frequency identification (RFID) signals from an RFID tag coupled to baggage stored in the cargo compartment. The system also includes a processor configured to perform operations including receiving the signals detected by the transceivers. The operations also include based on runtimes of the signals, determining a respective distance from the baggage to each transceiver, where the respective distance defines a boundary centered at a known location of the transceiver and along which the baggage is estimated to be located relative to the transceiver. The operations also include identifying locations at which the boundaries of the transceivers intersect and, based on the locations, detecting an estimated storage location of the baggage. The operations also include controlling a display device to display the estimated storage location.

Abstract: Systems and methods relating to foreign object detection with respect to passenger-accessible stowage compartments are provided. According to one example, sensor data is captured via a sensor subsystem that includes a sensor associated with each of a plurality of stowage compartments. For each of the stowage compartments, a baseline condition is identified in which foreign objects are absent from the stowage compartment. A foreign object is detected within a stowage compartment based on the sensor data received for the stowage compartment and the baseline condition identified for the stowage compartment. An audit of the stowage compartments is conducted, and based on the audit, an indication that the foreign object is detected within the stowage compartment is output. This indication may identify the stowage compartment containing the foreign object among the plurality of stowage compartments.

Abstract: A method of supporting flight operations of aircraft includes accessing a data stream of geographic positions of aircraft on respective flights. The geographic positions are determined using a satellite navigation system and obtained from automatic dependent surveillance broadcast (ADS-B) position reports, or estimated independent of the ADS-B position reports. The geographic positions are tracked to determine a number of the respective flights for which the geographic positions change from being obtained from the ADS-B position reports, to being estimated independent of the ADS-B position reports. The method includes determining an outage in which the satellite navigation system is unavailable to the aircraft, based on the number of the respective flights for which the geographic positions change from the ADS-B position reports to estimated independent of the ADS-B position reports, and based on a threshold. And an outage notification is generated that is output to alert users of the outage.

Abstract: Apparatuses, methods, systems, and program products are disclosed for dynamic selection of an aeronautical data provider. An apparatus includes a processor and a memory that stores code executable by the processor to receive streams of aeronautical data from a plurality of aeronautical data providers streaming aeronautical data from different geographic locations, determine a quality of each of the received streams of aeronautical data by checking the aeronautical data against data provided by at least one secondary data source that has a known quality, select an aeronautical data provider of the plurality of aeronautical data providers that provides a stream of aeronautical data that is closest to the data provided by the at least one secondary data source, and expose aeronautical data from the stream of aeronautical data of the selected aeronautical data provider to an end user according to one or more parameters.

Abstract: A computing device to determine engine thrust of an aircraft during taxiing. The computing device includes memory circuitry configured to store computer-readable program code. Processing circuitry is configured to execute the computer-readable program code to cause the computing device to: identify an aircraft on an airport surface; calculate an acceleration of the aircraft during the taxiing of the aircraft; compare the acceleration with predetermined data from similar aircraft; and based on the comparison, determine an engine thrust for the aircraft while the aircraft is taxiing.

Abstract: A system for detecting airborne objects within a shared field of view includes a first transceiver and a second transceiver. The first transceiver is positioned in a first discrete location and has a first field of view that represents a detection area of the first transceiver and the second transceiver is positioned in a second discrete location and has a second field of view that represents the detection area of the second field of view. The first field of view and the second field of view intersect one another to create the shared field of view. Both the first transceiver and the second transceiver are configured to emit an array of signals towards the shared field of view. Each signal of the array of signals includes a unique signature including information for determining an actual distance between either the first transceiver or the second transceiver and the airborne object.

Abstract: Systems and methods relating to foreign object detection with respect to stowage compartments or other regions of a vehicle are provided. According to one example, sensor data is captured via a sensor subsystem that includes a sensor associated with each of a plurality of stowage compartments. For each of the stowage compartments, a baseline condition is identified in which foreign objects are absent from the stowage compartment. A foreign object is detected within a stowage compartment based on the sensor data received for the stowage compartment and the baseline condition identified for the stowage compartment. An indication that the foreign object is detected within the stowage compartment is output. This indication may identify the stowage compartment containing the foreign object among the plurality of stowage compartments.

Abstract: Systems and methods relating to foreign object detection with respect to passenger-accessible stowage compartments are provided. According to one example, sensor data is captured via a sensor subsystem that includes a sensor associated with each of a plurality of stowage compartments. For each of the stowage compartments, a baseline condition is identified in which foreign objects are absent from the stowage compartment. A foreign object is detected within a stowage compartment based on the sensor data received for the stowage compartment and the baseline condition identified for the stowage compartment. An audit of the stowage compartments is conducted, and based on the audit, an indication that the foreign object is detected within the stowage compartment is output. This indication may identify the stowage compartment containing the foreign object among the plurality of stowage compartments.

Abstract: Systems and methods relating to foreign object detection with respect to passenger-accessible stowage compartments are provided. According to one example, sensor data is captured via a sensor subsystem that includes a sensor associated with each of a plurality of stowage compartments. For each of the stowage compartments, a baseline condition is identified in which foreign objects are absent from the stowage compartment. A foreign object is detected within a stowage compartment based on the sensor data received for the stowage compartment and the baseline condition identified for the stowage compartment. An audit of the stowage compartments is conducted, and based on the audit, an indication that the foreign object is detected within the stowage compartment is output. This indication may identify the stowage compartment containing the foreign object among the plurality of stowage compartments.

Abstract: A system for detecting airborne objects within a shared field of view is disclosed. The system includes a first transceiver and a second transceiver. The first transceiver is positioned in a first discrete location and has a first field of view that represents a detection area of the first transceiver and the second transceiver is positioned in a second discrete location and has a second field of view that represents the detection area of the second field of view. The first field of view and the second field of view intersect one another to create the shared field of view. Both the first transceiver and the second transceiver are both configured to emit an array of signals towards the shared field of view.

Abstract: Systems and methods relating to foreign object detection with respect to passenger-accessible stowage compartments are provided. According to one example, sensor data is captured via a sensor subsystem that includes a sensor associated with each of a plurality of stowage compartments. For each of the stowage compartments, a baseline condition is identified in which foreign objects are absent from the stowage compartment. A foreign object is detected within a stowage compartment based on the sensor data received for the stowage compartment and the baseline condition identified for the stowage compartment. An audit of the stowage compartments is conducted, and based on the audit, an indication that the foreign object is detected within the stowage compartment is output. This indication may identify the stowage compartment containing the foreign object among the plurality of stowage compartments.

Abstract: Certain aspects of the present disclosure provide a method that includes: collecting seat sensor data associated with a plurality of seats in a vehicle; selecting a first subset of data from the collected seat sensor data; providing the first subset of data to a fault detection model; receiving, from the fault detection model, one or more detected seat component faults; and generating, based on the one or more detected seat component faults, a seat condition map associated with the vehicle.

Abstract: An example methods for aircraft mass determination at pushback includes determining an acceleration of a pushback vehicle while moving an aircraft, determining a pushback force applied by the pushback vehicle while moving the aircraft, and determining a total mass of the aircraft based on the pushback force, the acceleration of the pushback vehicle during pushback, and a coefficient of static friction between tires of the aircraft and a surface on which the aircraft moves. An example system includes a pushback vehicle coupled to an acceleration sensor and a force sensor, and a computing device having one or more processors to determine a total mass of the aircraft based on the pushback force, the acceleration of the pushback vehicle during pushback, and a coefficient of static friction between tires of the aircraft and a surface on which the aircraft moves.

Abstract: An example methods for aircraft mass determination at pushback includes determining an acceleration of a pushback vehicle while moving an aircraft, determining a pushback force applied by the pushback vehicle while moving the aircraft, and determining a total mass of the aircraft based on the pushback force, the acceleration of the pushback vehicle during pushback, and a coefficient of static friction between tires of the aircraft and a surface on which the aircraft moves. An example system includes a pushback vehicle coupled to an acceleration sensor and a force sensor, and a computing device having one or more processors to determine a total mass of the aircraft based on the pushback force, the acceleration of the pushback vehicle during pushback, and a coefficient of static friction between tires of the aircraft and a surface on which the aircraft moves.