A method comprises receiving a landing request from an aircraft at a ground control center of a vertiport; activating infrared cameras at a vertiport landing site when the request is approved; searching for the aircraft based on light strobes on the aircraft using the infrared cameras; creating a virtual current approach frame of the aircraft when the light strobes are detected by the infrared cameras; and comparing the virtual current approach frame to a predefined approach frame to determine whether a landing approach of the aircraft is suitable. If the landing approach is not suitable, sending feedback to the aircraft from the ground control center to provide guidance for the landing approach based on a difference between the predefined approach frame and the virtual current approach frame. The method further comprises projecting a conical area for aircraft detection that includes virtual approach rings having threshold values based on aircraft parameters.

Example implementations relate to systems and techniques for coordinating and assigning aircraft and ground vehicles to runways to prevent wrong surface events and to minimize runway incursions. An aircraft initially receives instructions identifying a runway for use by the aircraft generated by an Air Traffic Control Tower (ATCT) and then subsequently receives a runway identification (ID) code transmitted by a sensor subsystem positioned proximate the runway, which is used by a runway-aircraft pairing management system. An onboard verification system of the aircraft then compares the runway ID code with the runway identified in the ground navigation instruction and uses an onboard transmitter to transmit a confirmation to the sensor subsystem positioned proximate the runway when the code and runway match. The aircraft then displays instructions for the aircraft to proceed with use of the runway.

A dynamic ground distance training system and method of training for pilots including one or more emitters facing downward direct signal of focused energy (or sound and/or light) towards the runway and said focused energy signal is reflected from the runway; the reflected signal is received by one or more receivers positioned generally downward; and, the energy signal is processed via microprocessor(s) and a distance based on the time intervals when sampling signal reflections is determined.

A method and system for detecting a ground marking element of a landing runway by computer vision and through signal processing techniques. A detection system (S) including an image collection unit (10), a cutting unit (11) for cutting the image (I) into strips (ST1), a determination unit (12) to determine at least one mean intensity curve (C) for at least one strip (ST1), a recognition unit (13) for recognizing in the mean intensity curve (C) at least one ground marking element (100) of the landing runway (T), a detection unit (2) for detecting a position of at least one ground marking element of the landing runway (T) in the images (I).

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an unmanned aerial system inspection system. One of the methods is performed by a UAV and includes receiving, by the UAV, flight information describing a job to perform an inspection of a rooftop. A particular altitude is ascended to, and an inspection of the rooftop is performed including obtaining sensor information describing the rooftop. Location information identifying a damaged area of the rooftop is received. The damaged area of the rooftop is traveled to. An inspection of the damaged area of the rooftop is performed including obtaining detailed sensor information describing the damaged area. A safe landing location is traveled to.

Methods, systems, and apparatus for drone navigation within a property. A method includes detecting an obstacle in a navigation path of a drone, determining a classification of the obstacle, determining whether to temporarily land based on the classification of the obstacle, and temporarily landing the drone until the obstacle clears the navigation path of the drone.

Methods, devices, and systems for air traffic control (ATC) flight management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an ATC flight management analysis that includes an airport map showing locations of aircraft at the airport and a card panel including a number of flight cards, where each respective one of the number of flight cards corresponds to a different respective one of the aircraft at the airport, and a user interface to display the ATC flight management analysis in a single integrated display.

In some embodiments, the present disclosure provides systems and methods enabling unmanned vehicle navigation and delivery including an integrated roofing accessory integrated into a roof, the integrated roofing accessory including at least one antenna and a computing module in communication with the at least one antenna, where the computing module, when software is executed, is configured to transmit, via the at least one antenna: electronic operating instructions to at least one unmanned vehicle, and network messages related to the at least one unmanned vehicle to at least one additional integrated roofing accessory. A landing member is on the roof and the electronic operating instructions comprise: at least one landing instruction configured to cause the at least one unmanned vehicle to land on the landing member, and at least one take-off instruction configured to cause the at least one unmanned vehicle to take off from the landing member.

Systems and methods for defining a custom fix via a graphical user interface (GUI) for operation of an aircraft. The method includes uniquely sized and arranged custom fix dialog GUI windows that are displayed on an active avionic display, the custom fix dialog windows having preprogrammed arrangements of GUI objects. The GUI objects allow a user to select between custom airports or custom runways, and to select between create, edit, and store custom fix functions. The method decodes and sequences user input, as related to the displayed GUI objects. Embodiments keep track of required data fields for respective custom fixes, and store custom fix data in a custom database that is compatible with the navigation database and avionic display systems.

A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.