A method 300 for deploying an aircraft landing gear including: receiving an aircraft landing gear deployment signal 310, receiving an aircraft position signal indicative of a distance of the aircraft from an aircraft landing site 320, receiving one or more flight signals indicating one or more dynamic conditions or parameters relating to the flight of the aircraft 330, determining, based at least on the one or more flight signals, a first aircraft position, relative to the aircraft landing site, at which the landing gear deployment should commence 340, and deploying the landing gear (a) when the aircraft reaches the first aircraft position, in the event that the deployment signal is received before the aircraft reaches the first aircraft position, or (b) immediately, in the event that the deployment signal is received when the aircraft has passed the first aircraft position 350.

A method 300 for deploying an aircraft landing gear including: receiving an aircraft landing gear deployment signal 310, receiving an aircraft position signal indicative of a distance of the aircraft from an aircraft landing site 320, receiving one or more flight signals indicating one or more dynamic conditions or parameters relating to the flight of the aircraft 330, determining, based at least on the one or more flight signals, a first aircraft position, relative to the aircraft landing site, at which the landing gear deployment should commence 340, and deploying the landing gear (a) when the aircraft reaches the first aircraft position, in the event that the deployment signal is received before the aircraft reaches the first aircraft position, or (b) immediately, in the event that the deployment signal is received when the aircraft has passed the first aircraft position 350.

Avionics systems, aircraft, and methods are provided. An avionics system for an aircraft includes a trajectory modeling system and a Terrain Awareness Warning System (TAWS). The trajectory modeling system is programmed to determine a current performance capability of the aircraft and to generate potential escape data based on the current performance capability of the aircraft. The TAWS is programmed to generate a terrain margin using a TAWS algorithm based on the potential escape data and to generate a warning based on the terrain margin.

Avionics systems, aircraft, and methods are provided. An avionics system for an aircraft includes a trajectory modeling system and a Terrain Awareness Warning System (TAWS). The trajectory modeling system is programmed to determine a current performance capability of the aircraft and to generate potential escape data based on the current performance capability of the aircraft. The TAWS is programmed to generate a terrain margin using a TAWS algorithm based on the potential escape data and to generate a warning based on the terrain margin.

A pilot-monitoring safety system is disclosed. The system comprises a head worn display including one or more heart rate sensors configured to generate heart rate measurements of a user of the head worn display, and one or more eye trackers configured to generate eye-gaze measurements of the user of the head worn display. The system further comprises a pilot-monitoring computing device configured to determine a health state of the user based on at least the heart rate measurements and the eye-gaze measurements, and responsive to the health state indicating a dangerous condition of the user, present an alert to the user using the head worn display. The system further comprises an autopilot computing device configured to, responsive to a predetermined time period elapsing without a response to the visual alert from the user, automatically control an aircraft.

A pilot-monitoring safety system is disclosed. The system comprises a head worn display including one or more heart rate sensors configured to generate heart rate measurements of a user of the head worn display, and one or more eye trackers configured to generate eye-gaze measurements of the user of the head worn display. The system further comprises a pilot-monitoring computing device configured to determine a health state of the user based on at least the heart rate measurements and the eye-gaze measurements, and responsive to the health state indicating a dangerous condition of the user, present an alert to the user using the head worn display. The system further comprises an autopilot computing device configured to, responsive to a predetermined time period elapsing without a response to the visual alert from the user, automatically control an aircraft.

An aerial vehicle safety apparatus includes an expandable object and an ejection apparatus. The ejection apparatus includes a container that accommodates the expandable object and has an opening provided on one end side, a moving member provided in the container, the moving member including an emission base carrying the expandable object on a side of the opening, the moving member being movable along an inner wall of the container, and a driver that ejects the expandable object by moving the moving member toward the opening. A space located opposite to the opening when viewed from the emission base and surrounded by the container and the moving member communicates with a space located outside the space through a communication portion.

An aerial vehicle safety apparatus includes an expandable object and an ejection apparatus. The ejection apparatus includes a container that accommodates the expandable object and has an opening provided on one end side, a moving member provided in the container, the moving member including an emission base carrying the expandable object on a side of the opening, the moving member being movable along an inner wall of the container, and a driver that ejects the expandable object by moving the moving member toward the opening. A space located opposite to the opening when viewed from the emission base and surrounded by the container and the moving member communicates with a space located outside the space through a communication portion.

Offline task-based feature processing for aerial vehicles is provided. A system can extract features from a world model generated using sensor information captured by sensors mounted on an aerial vehicle. The system generates a label for each of the features and identifies identify processing levels based on the features. The system selects a processing level for each feature of a subset of features based on a task performed by the aerial vehicle and the label associated with the feature. The system generates one or more processed features by applying the processing level to a respective feature of the subset of the plurality of features. The system presents the one or more processed features on a display device of the aerial vehicle.

Offline task-based feature processing for aerial vehicles is provided. A system can extract features from a world model generated using sensor information captured by sensors mounted on an aerial vehicle. The system generates a label for each of the features and identifies identify processing levels based on the features. The system selects a processing level for each feature of a subset of features based on a task performed by the aerial vehicle and the label associated with the feature. The system generates one or more processed features by applying the processing level to a respective feature of the subset of the plurality of features. The system presents the one or more processed features on a display device of the aerial vehicle.