99results about "Aircraft ground control" patented technology

A method is disclosed here. The method includes receiving an input from an aircraft, determining a towing status of the aircraft based on the input, and sending a message to a transmitter to transmit the towing status of the aircraft. Also disclosed herein is a system including an aircraft including a nose landing gear, a first controller, and a transmitter, wherein the first controller is configured to determine a towing status of the aircraft based on a number of sensor signals received from the aircraft, and the transmitter is configured to transmit the towing status and a tow truck configured to tow the aircraft, the tow truck including a second controller and a receiver, wherein the receiver is configured to receive the towing status from the transmitter, and the second controller is configured to provide an indication of the towing status of the aircraft.

A method and an aircraft are suggested which utilizes information from a control tower, position information of the aircraft, and a map of an airport for guiding the aircraft along taxiways of the airport and for preventing accidents. The method may comprise the steps of receiving data representing a road map of an airport, determining a position of the aircraft, receiving data representing an assigned taxiway for the aircraft, wherein the assigned taxiway is divided into at least two sections and comprises at least one holding point. Further, data representing a taxi clearance for at least one of the at least two sections are received, wherein the data representing the assigned taxiway for the aircraft and the data representing the taxi clearance for one of the at least two sections of the assigned taxiway are received from a control tower of the airport. Then, the assigned taxiway and the taxi clearance of the at least one section on the road map of the airport may be indicated.

A method and system for dynamically representing the separation for air traffic has been developed. First, air traffic is detected which requires maintenance of a separation distance from an ownship aircraft. The ground speed of the ownship, the ground speed of the air traffic and the current separation distance is determined. A predicted separation distance is calculated following a specific time interval. The predicted separation distance between the air traffic and the ownship is based on a differential in ground speed between the air traffic and the ownship and the specific time interval. The location of the air traffic, the separation distance and the predicted separation distance are all shown on a graphical display onboard the ownship. The separation distance and the predicted separation distance are represented on a non-linear scale on the graphical display.

A method for assisting with operations to be effected during a phase of movement over the ground in an airport. The method comprises: obtaining, for at least one phase of movement over the ground performed in an airport, by an aircraft of a fleet, data each representative of one event of a list of events, and a geolocation point of the event and a condition of the phase of movement over the ground; determining, for at least one route, an occurrence rate of each event realized on the route, and per geolocation point, solely on the basis of the data for which the condition of the phase of movement over the ground meets a predefined criterion. A datum representative of a determined occurrence rate and of an associated geolocation point are provided. Also a system.

A system and a method include a user interface having a display. A control unit is configured to monitor a position of an aircraft in relation to one or more other structures at an airport, associate an aircraft model with the position of the aircraft, associate one or more structure models with the one or more other structures, and show the aircraft model and the one or more structure models on the display.

A method and an aircraft which utilizes information from a control tower, position information of the aircraft, and a map of an airport for guiding the aircraft along taxiways. The method may comprise receiving data representing a road map of an airport, determining a position of the aircraft, receiving data representing an assigned taxiway for the aircraft, wherein the assigned taxiway is divided into at least two sections and comprises at least one holding point. Further, data representing a taxi clearance for at least one of the at least two sections are received, wherein the data representing the assigned taxiway for the aircraft and the data representing the taxi clearance for one of the at least two sections of the assigned taxiway are received from a control tower of the airport. Then, the assigned taxiway and the taxi clearance may be indicated.

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.

An aircraft-based strategic and tactical interactive guidance system for ground operations includes position sensors for determining position information of an aircraft engaged in taxi operations (e.g., gate to takeoff, touchdown to gate) at an airport. The guidance system stores airport database information about runways, taxiways, hazards, gates, and other airport features. The guidance system analyzes and parses verbal taxi instructions from the airport control facility, into a navigation path. The guidance system fuses the navigation path with the airport database information and the aircraft's position information to present, via an interactive display surface, a strategic display, e.g., providing an overhead view of the current aircraft position, its assigned gate or destination, and the navigation path incorporating the prescribed runways and / or taxiways via which the aircraft will reach said destination. The pilot may modify the displayed navigation path via the interactive display surface.

A collision avoidance system for aggregating and processing data when an aircraft is on or near the ground. The collision avoidance system includes a data input module configured to obtain object data and contextual data from a plurality of aircraft systems. The collision avoidance system further includes a processor configured to combine the object data into an aggregated list of detected objects, and label the aggregated list of detected objects using the contextual data to form a contextualised list of detected objects for use in determining collision avoidance. The collision avoidance system further includes a data output module configured to output the contextualised list of detected objects to a set of output systems.

An aerial vehicle is provided. The aerial vehicle can include a plurality of sensors mounted thereon, an avionics system configured to operate at least a portion of the aerial vehicle, and a machine vision controller in operative communication with the avionics system and the plurality of sensors. The machine vision controller is configured to perform a method. The method includes obtaining sensor data from at least one sensor of the plurality of sensors, determining performance data from the avionic system or an additional sensor of the plurality of sensors, processing the sensor data based on the performance data to compensate for movement of the unmanned aerial vehicle, identifying at least one geographic indicator based on processing the sensor data, and determining a geographic location of the aerial vehicle based on the at least one geographic indicator.

The present invention relates to a technology for predicting, on the basis of an artificial intelligence model, a flight path along which a flight vehicle such as a UAM will fly. According to an aspect of the present invention, a method performed by a path prediction model training device comprises the steps of: obtaining multiple pieces of training data including performance information and fuel information of at least one flight vehicle, and weather information and route deviation information based on the location of the at least one flight vehicle; preprocessing the multiple pieces of training data; and training a path prediction model to predict the path of the flight vehicle, on the basis of the multiple processed pieces of training data.

A method and system for generating a taxi assist path for an aircraft at an airport has been developed. First, a network of taxiways / runways for the airport is retrieved and used to generate multiple taxi assist paths for the aircraft from the present location of the aircraft to the destination of the aircraft. An optimum taxi assist path is selected for the aircraft from the multiple taxi assist paths. A mapping diagram of painted taxiway guidance lines for the airport is retrieved. The optimum taxi assist path is then modified to match corresponding painted taxiway guidance lines and displayed on an aircraft display device.

A computer-implemented method of obtaining an excursion report for an aircraft is disclosed. The aircraft includes one or more sensors and a vision system, and the method includes obtaining sensor data from the one or more sensors; storing and time-stamping the sensor data; operating the vision system to detect the aircraft leaving a runway or taxiway; recording a start time of an excursion period based on a time of detection of the aircraft leaving the runway or taxiway; operating the vision system to detect the aircraft returning to the runway or taxiway; recording an end time of the excursion period based on a time of detection of the aircraft returning to the runway or taxiway; and compiling an excursion report, the excursion report comprising: the start time of the excursion period, the end time of the excursion period and a subset of the sensor data which was time-stamped during the excursion period.

The embodiment of the invention provides an aircraft taxiing trajectory management method, comprising: acquiring path management data, the path management data comprising equipment data and airport environment data corresponding to an aircraft, the equipment data comprising current setting data, historical trajectory data and / or current position data of the aircraft; predicting future trajectory data of the aircraft at a future time point based on the path management data; acquiring real-time trajectory data of the aircraft at the future time point; judging whether the real-time trajectory data and the future trajectory data meet a preset early warning condition or not; and giving an early warning in response to the satisfaction. According to the method, the safety and efficiency of airport scene operation can be remarkably improved, accidents and conflicts are reduced, and normal operation of flights is ensured.

Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR / Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR / Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

The present disclosure provides for informed de-icing by identifying a travel time range for an aircraft from a de-icing station to a runway; identifying a holdover window based on predicted weather conditions during the travel time range; estimating a takeoff time for the aircraft based on a takeoff queue for the runway and the travel time range; and in response to the holdover window expiring before the estimated takeoff time, delaying the aircraft from de-icing. In some aspects, informed de-icing includes, in response to identifying an aircraft scheduled for de-icing within a caution threshold of a scheduled takeoff time and to determining that a push time cannot be delayed: evaluating an effect of repeating a de-icing operation for the aircraft on flight operations; and in response to the effect exceeding an impact threshold: rescheduling the de-icing operation for the aircraft based on a new takeoff time.

A system, method, and computer-readable medium for calibrating performance parameters of an aircraft during a phantom fuel procedure, including determining an independent fuel weight parameter during operation of the aircraft value based on output of fuel level sensors of a fuel quantity subsystem coupled to the aircraft flight control system, receiving a zero fuel weight parameter, receiving a fuel weight parameter corresponding to a weight of fuel onboard the aircraft and a phantom fuel value, determining a gross weight parameter based on the zero fuel weight, determining a fuel consumption parameter value of the aircraft based on output of fuel flow sensors coupled to the aircraft flight control system, updating the gross weight parameter during operation of the aircraft based on the fuel weight parameter and the fuel consumption parameter value, and determining performance parameter for the aircraft during operation of the aircraft based on the gross weight parameter.

An aircraft includes a plurality of stereo cameras. The aircraft further includes one or more processors and one or more memory devices. The one or more memory devices store instructions that are executable by the one or more processors to perform operations including generating a three-dimensional depth map based on a plurality of outputs of the plurality of stereo cameras. The instructions include detecting one or more objects represented in the plurality of outputs. The instructions further include transmitting one or more taxi control signals based on the three-dimensional depth map and the one or more objects.

Exemplary disclosed embodiments include systems, methods, and devices for a ground maneuvering system for aircraft. The systems, methods, and devices may include a ground maneuvering system including at least one processor in communication with at least one sensor and at least one maneuvering vehicle. The at least one maneuvering vehicle includes one or more processors in communication with one or more sensors. The one or more processors can be configured to sense, using the one or more sensors, an area associated with a plurality of areas, to determine a location within area, or to maneuver the maneuvering vehicle to the location. The maneuvering vehicle may also include a movement system for maneuvering the maneuvering vehicle in or around the plurality of areas, and a platform configured for an aircraft.

A method includes obtaining medial axes of buffers around guidance lines of taxiways of an airport. The buffers define a taxiway polygon representation of the taxiways. The method includes identifying a plurality of intersection points of the medial axes. The method includes segmenting the taxiway polygon into taxiway segments with segment lines based on the plurality of intersection points, where a particular segment line associated with an intersection point is offset a distance from the intersection point and is at a particular angle relative to a medial axis extending from the intersection point. The method further includes generating a map of the airport that includes the taxiway segments.

Systems, apparatuses, methods, and computer program products are provided herein. For example, a method is described herein includes identifying aviation operations program data representative of one or more aviation operations programs. In some embodiments, the method includes configuring the one or more aviation operations programs in accordance with at least one of a plurality of aviation implementation states. In some embodiments, the method includes providing aviation mission data to an external aviation mission device. In some embodiments, the method includes receiving, from the external aviation mission device, first program implementation data in response to an aviation mission activation event. In some embodiments, the method includes initiating performance of one or more aviation mission actions based on the first program implementation data.

A method of perceiving an airport scene is disclosed. The method comprises receiving an image of at least part of an airport and processing (304) said image using a first machine learning algorithm to identify at least one segment (402) in said image and determine an initial estimate of a category of airport feature present in said segment. The method also comprises determining (310) one or more real-world coordinates or dimensions associated with the segment, applying (312) one or more predetermined logical tests to the initial estimate of the category of airport feature present in the segment and the real-world coordinates or dimensions of the segment to determine a reviewed estimate of the category of airport feature present in the segment, and outputting (320) said reviewed estimate.

The objective of the present invention is to determine a preferred flight route for a multi-purpose flying object. A flight route determining system S comprising a battery-driven drone 300 and a server 100 for managing the drone 300 is provided with: a selecting means 111 for selecting a target parking place 400 from among a plurality of parking places 400 corresponding to a plurality of destinations; a first setting means and a second setting means 112, 113 for setting a direct route for causing a drone 300a parked in the target parking place 400 to fly between a first destination and a second destination without passing through any parking places 400, and a detour route for causing the drone 300a to fly between the first destination and the second destination via a parking place 400; a first calculating means 114 for calculating a flyable distance on the basis of a load weight and a remaining battery capacity; and a first determining means 116 for determining, on the basis of the flyable distance, one of the direct route and the detour route as a flight route for the drone 300a.

A system for displaying a taxi clearance including a display is configured to display the position of an aircraft during airport taxiing with a first sensor for detecting the location of the aircraft during airport taxiing. The display indicates the position of hold stops and taxi paths at the airport. An input provides taxi instructions into the system. The input may be manually by the pilot or via a transmission from the air traffic control. The taxi instructions are represented on the display as a taxi path on the taxiways with a first hold stop identified on the route. The display indicates the aircraft's proximity to said hold stop.

Methods, devices, and systems for airfield luminaire obstruction detection are described herein. In some examples, one or more embodiments include a controller for airfield luminaire obstruction detection, comprising a memory, and a processor configured to execute instructions stored in the memory to receive a signal from a light sensor of an airfield luminaire, determine, based on the signal, whether a lens of the airfield luminaire is obstructed by debris, and activate, based on whether the lens is obstructed, at least one of a vibration mechanism of the airfield luminaire and a heating mechanism of the airfield luminaire based on a temperature of the airfield luminaire to aid in clearing the debris.

A system and method for aircraft ground guidance and control are characterized by: inputting to a server and managing the GPS coordinate values, representing fixed location information, of all airfield lights that are installed within an airfield and can be controlled and monitored; determining whether the real-time coordinates of a moving aircraft on radars cross the fixed coordinates of the airfield lights; and specifying the location of the aircraft if the coordinates of the aircraft cross the fixed coordinates of the airfield lights, and guiding and controlling the airfield lights in the path of the aircraft. Accordingly, provided are the benefits of managing the GPS coordinate values representing fixed location information of airfield lights input to a server, accurately identifying the location of a moving aircraft if the real-time coordinates of the moving aircraft on radars cross the fixed coordinates of the airfield lights, and guiding and controlling the aircraft and airfield lights.

A camera with a field of view toward an external environment of an aircraft is disposed within an aircraft door such that an evacuation slide deployment path is within the field of view of the camera. A display device is disposed within an interior of the aircraft. A processor is operatively coupled to the camera and to the display device. The processor analyzes image data captured by the camera to identify a region within the captured image data that corresponds to the evacuation slide deployment path, determine whether the evacuation slide deployment path will generate a failed deployment outcome, and produce a warning associated with the evacuation slide deployment path in response to determining that the evacuation slide deployment path will generate the failed deployment outcome.