ADVANCED FLIGHT PROCESSING SYSTEM AND/OR METHOD
The method can include: determining sensor information with an aircraft sensor suite; based on the sensor information, determining a flight command using a set of models; validating the flight command S 130 ; and facilitating execution of a validated flight command. The method can optionally include generating a trained model. However, the method S 100 can additionally or alternatively include any other suitable elements. The method can function to facilitate aircraft control based on autonomously generated flight commands. The method can additionally or alternatively function to achieve human-in-the-loop autonomous aircraft control, and/or can function to generate a trained neural network based on validation of autonomously generated aircraft flight commands.
1 . A system for an aircraft comprising:
an autonomous computing system onboard the aircraft and configured to determine a flight command with a set of pre-trained neural networks; and
an aircraft computing system comprising a Flight Management System (FMS), the aircraft computing system partitioned from the autonomous computing system by a firewall, the aircraft computing system configured to automatically facilitate execution of the flight command via the flight management system (FMS).
2 . The system of claim 1 , further comprising: an application programming interface (API) communicatively coupled to the autonomous computing system and the pilot validation interface, the API configured to:
receive the flight command from the autonomous computing system;
validate adherence of the flight command to a set of predetermined rules; and
provide the flight command to the pilot validation interface.
3 . The system of claim 2 , wherein the API is configured to validate adherence of the flight command to the set of predetermined rules with a hash function validation or a checksum validation.
4 . The system of claim 1 , further comprising: an application programming interface (API) communicatively coupled to the autonomous computing system and the pilot validation interface, the API configured to validate format compliance of the flight command received at the API.
5 . The system of claim 4 , wherein the set of pre-trained neural networks are configured to autonomously determine the flight command, in a predetermined format, from unstructured sensor data.
6 . The system of claim 5 , wherein the unstructured sensor data comprises an air traffic control (ATC) audio signal.
7 . The system of claim 5 , wherein the unstructured sensor data comprises time-of-flight data.
8 . The system of claim 1 , wherein the flight command comprises a resolution advisory.
9 . The system of claim 1 , wherein the autonomous computing system comprises a multi-core processor.
10 . The system of claim 1 , wherein the firewall comprises a physical firewall.
11 . The system of claim 1 , wherein the firewall comprises a software firewall.
12 . The system of claim 1 , wherein the aircraft computing system is physically partitioned from the autonomous computing system by a physical hardware separation, with the autonomous computing system isolated from a remainder of the aircraft.
13 . The system of claim 12 , wherein the autonomous computing system is a flight aid or flight assistive device.
14 . A method for control of an aircraft, the method comprising:
determining sensor information with a sensor suite of the aircraft;
based on the sensor information, determining a flight command with an autonomous computing system of onboard the aircraft using a set of pre-trained models of the autonomous computing system;
receiving the flight command at an application program interface (API) which is partitioned from the autonomous computing system;
validating a format compliance of the flight command received at the API;
based on validation of the format compliance, automatically facilitating execution of the flight command.
15 . The method of claim 14 , wherein automatically facilitating execution of the flight command comprises providing the flight command to a Flight Management System.
16 . The method of claim 14 , wherein the flight command comprises a resolution advisory.
17 . The method of claim 14 , wherein the sensor information comprises an air traffic control (ATC) audio signal.
18 . The method of claim 14 , wherein the sensor suite comprises a set of time-of-flight sensors and the sensor data comprises time-of-flight data from the set of time-of-flight sensors, wherein the autonomous computing system is configured to:
identify features based on the time-of-flight data using a pre-trained model of the set; and
autonomously determine the flight command based on the identified features.
19 . The method of claim 14 , wherein the autonomous computing system comprises a multi-core processor.
20 . The method of claim 14 , wherein the format compliance of the flight command is validated using a hash function or checksum.