Systems and methods for displaying object data within an airport moving map (“AMM”) are disclosed. In various embodiments, the systems may comprise an avionics database, a flight management system comprising a processor communicatively coupled to the avionics database, and/or a display communicatively coupled to the processor, the processor configured to receive AMM data from the avionics database, receive object data, and/or display the AMM, the AMM including an image of the object, the AMM further including an image of an area that may be obscured from a field of view of a pilot by the object.

An enhanced flight vision system for an aircraft includes an image acquisition system configured to acquire images of the surroundings outside the aircraft and a display system configured to receive images produced by the image acquisition system and to display these images on a display in the cockpit of the aircraft. The display system is configured to acquire information about the flight path angle of the aircraft when approaching a runway, to calculate a difference between the flight path angle of the aircraft and a nominal angle and to deactivate the display of the images received from the image acquisition system on the display when the absolute value of the difference is greater than a first angular value.

Systems and methods of non-line-of-sight passive detection and integrated early warning of an unmanned aerial system by a plurality of acoustic sensors are described. In some embodiments, the plurality of acoustic sensors is positioned within an intra-netted array in depth according to at least one of a terrain, terrain features, or man-made objects or structures. The acoustic sensors are capable of detecting and tracking unmanned aerial systems in non-line-of-sight environments. In some embodiments, the acoustic sensors may be in communication with internal electro-optical components or other external sensors, with orthogonal signal data then transmitted to remote observation stations for correlation, threat determination and if required, mitigation. The unmanned aerial systems may be classified by type and a threat level associated with the unmanned aerial system may be determined.

The present invention provides a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting or diluting fruits, and a computerized method for optimal harvesting using a UAV fleet.

A system and method are disclosed. The system includes a computer readable medium having non-transitory computer readable program code embodied therein for risk-aware contingency flight re-planning. The computer readable instructions include instructions, which when executed by a computer device or processors, perform and direct the step of receiving a preplanned route, receiving a risk tolerance level from a decision maker, receiving input from a database, receiving an indication of an en route risk to the vehicle, determining an association of an exposure cost with at least one of a plurality of 4-D paths, ranking the plurality of 4-D paths based on the association of the exposure cost, and displaying a portion of the plurality of 4-D paths to the decision maker.

A method for heads-up control and interactive display of traffic targets via a heads-up display (HUD) is disclosed. The method includes receiving position data from proximate aircraft (e.g., within a threshold range) and arranging the aircraft into an ordered sequence based on proximity or other criteria. The method includes overlaying interactive symbology onto the HUD synthetic display corresponding to the proximate aircraft (including any aircraft within range but outside the HUD field of view, e.g., behind the aircraft or pilot). The method includes accepting control input from a user via a heads-up controller (e.g., manual control or voice command) and focusing a cursor on each proximate aircraft in sequence based on the control input. The method includes selecting, via the heads-up controller, focused aircraft via the heads-up controller. The method includes designating, via the heads-up controller, selected aircraft for CDTI Assisted Visual Separation (CAVS) or other traffic applications.

Disclosed are methods, systems, and non-transitory computer-readable medium for landing a vehicle. For instance, the method may include: before a descent transition point, receiving from a service a landing zone confirmation including landing zone location information and an indication that a landing zone is clear; determining a landing flight path based on the landing zone location information; and upon the vehicle starting a descent to the landing zone using the landing flight path: receiving landing zone data from at least one of a radar system, a camera system, an altitude and heading reference system (AHRS), and a GPS system; performing an analysis based on the landing zone data to determine whether an unsafe condition exists; and based on the analysis, computing flight controls for the vehicle to continue the descent or modify the descent.

A method for defending a predetermined area from an autonomously moving Unmanned Aerial Vehicle (UAV) is provided. The method includes generating one or more adversarial example adapted to disrupt a machine-learning based vision system of the UAV. Additionally, the method includes determining, based on geographical information about at least one of the predetermined area and a surrounding area of the predetermined area, a respective position for the one or more adversarial example in at least one of the predetermined area and the surrounding area of the predetermined area.

Devices and methods for activating a flight-enable beacon configured to provide a light beacon or data signal comprising capability to establish and maintain a fixed set of coordinates. The flight-enabled beacon is configured with a processor, memory, motor, gimbal or swashplate and light emitting source and can be configured to attain and maintain a target altitude and emit a light over a fixed period of time. The flight-enabled beacon is configured to be light and with small form factor for easy portable transport in cases of emergency or to provide a signal easily locatable by parties located a distance from the activated light-enabled beacon.

A handheld computing device comprises: a display; a camera operable to capture image data representing a scene, the scene comprising a UAV; an RF receiver configured to receive identification data wirelessly from the UAV as a result of the UAV having broadcast the identification data; and a controller configured to cause the received identification data and/or data based on the received identification data to be displayed on the display at the same time as a representation of the UAV.