20results about "Aircraft ground control" patented technology

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.

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 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 and systems are provided for assisting operation of a vehicle using speech recognition and transcription to provide a conversation log graphical user interface (GUI) display. One method involves analyzing a transcription of an audio communication depicted on the conversation log GUI display to identify an operational subject associated with the audio communication, obtaining supplemental information pertaining to the operational subject from a data source, generating, on the conversation log GUI display, a selectable GUI element associated with the supplemental information, and in response to user selection of the selectable GUI element, generating, on the display device, a graphical representation based at least in part on the supplemental information. In some implementations, a separate supplemental information GUI display is presented in lieu of the conversation log GUI display in response to selection of the selectable GUI element.

The present disclosure envisages in the field of navigation of aircrafts, their landing and take-off in low visibility situations. The system (100) comprises User device (200), Terminal (300), Aircraft Speed, Brake & Engine Control Module (500), a server (400) and pass-through points (600). Terminal (300) is configured to Aircraft Speed, Brake & Engine Control Module (500) which is configured to Aircraft Speed System. The server (400) through user device (200) with air traffic controller creates geofences (on the defined stretched of aircraft flight paths, runway zones / taxi bay lanes) and stores rules associated with each such geofences. Terminal (300) when it is found in a geofence gets instructions / messages from server (400) and communicate to Aircraft Speed, Brake & Engine Control Module (500). Aircraft Speed, Brake & Engine Control Module (500) connected to aircraft speed management system accordingly changes / regulates the speed of the aircraft which remains valid until Terminal (300) gets a new instruction / message from server (400) once Terminal (300) is at a new geofence. Precise location coordinates-based navigation map (based on multiple geofences fusion / intersection / overlap) and glidepath is created connecting the centerline of touchdown zone of runway to the terminal (300) of the aircraft when terminal (300) is found at desired descent zone geofence location coordinates. Pilot follows the glidepath i.e. precise navigation map and altitude (and after considering other usual parameters like speed, wind speed and direction) at various stages of landing and take-off without a need of visuals / lighting system which is not available in low visibility situations like fog, heavy rains, night-time etc. The present disclosure provides a solution for landing and take-off in low visibility situation without investing heavily on infrastructure and certification of operations levels of airports like CAT II and CAT III.

A system comprises a controller onboard a vehicle that provides for autonomous taxiing of the vehicle at an airport. Onboard optical sensors include look-forward and look-down optical sensors. An onboard bidirectional radio receives ATC clearance information. The system also includes onboard aiding sensors, and an airport moving map database. An ATC clearance processing module translates the ATC clearance information into processor readable information. An image processing module receives image data from the optical sensors, and provides object detection and image interpretation functions. A taxi route generation module receives translated ATC clearance information and map information to generate a travel route at the airport for the vehicle. An aiding sensor data processing module determines state information for the vehicle based on vehicle state data. A command generation module generates commands for driving the vehicle. A control module automatically drives the vehicle on an airport surface, and controls a brake and throttle.

A computing system for combined aviation and ground mapping for aircraft navigation includes memory storing aviation map data, road map data, and instructions of an air-ground navigation program, and processing circuitry configured to implement the air-ground navigation program. The processing circuitry receives aircraft location data and destination data for a user of the aircraft. The destination data is cross-referenced with the road map data to validate a destination of the user, and a landing site proximate the destination is determined via the aviation map data. An air route segment from the location of the aircraft to the landing site and a ground route segment from the landing site to the destination are generated via respective algorithms. The air and ground route segments are combined to produce a combined air-ground navigation route, and a visual representation of the combined air-ground navigation route is output to a display device.

The present disclosure envisages in the field of navigation of aircrafts, their landing and take-off in low visibility situations. The system (100) comprises User device (200), Terminal (300), Aircraft Speed, Brake & Engine Control Module (500), a server (400) and pass-through points (600). Terminal (300) is configured to Aircraft Speed, Brake & Engine Control Module (500) which is configured to Aircraft Speed System. The server (400) through user device (200) with air traffic controller creates geofences (on the defined stretched of aircraft flight paths, runway zones / taxi bay lanes) and stores rules associated with each such geofences. Terminal (300) when it is found in a geofence gets instructions / messages from server (400) and communicate to Aircraft Speed, Brake & Engine Control Module (500). Aircraft Speed, Brake & Engine Control Module (500) connected to aircraft speed management system accordingly changes / regulates the speed of the aircraft which remains valid until Terminal (300) gets a new instruction / message from server (400) once Terminal (300) is at a new geofence. Precise location coordinates-based navigation map (based on multiple geofences fusion / intersection / overlap) and glidepath is created connecting the centerline of touchdown zone of runway to the terminal (300) of the aircraft when terminal (300) is found at desired descent zone geofence location coordinates. Pilot follows the glidepath i.e. precise navigation map and altitude (and after considering other usual parameters like speed, wind speed and direction) at various stages of landing and take-off without a need of visuals / lighting system which is not available in low visibility situations like fog, heavy rains, night-time etc. The present disclosure provides a solution for landing and take-off in low visibility situation without investing heavily on infrastructure and certification of operations levels of airports like CAT II and CAT III.

A system and a method include an aircraft including one or more lighting devices. A control unit is in communication with the one or more lighting devices. The control unit is configured to operate the one or more lighting devices to provide illuminated messages regarding traffic in relation to one or more ground paths at an airport on one or more surfaces.

A method to autonomously taxi an aircraft is disclosed. The method comprises receiving, by a processing means, a route intended for the aircraft 310. Obtaining, by the processing means, a route line based on the route 320. Determining, by the processing means, at least one route feature along the route line 330. Determining, by the processing means, a deviation of a nosewheel of the aircraft from the route line based on a current position of the aircraft provided by the aircraft global navigation satellite system (GNSS) 340. Outputting, by the processing means, an adjustment of an angle of the nosewheel to correct the deviation from the route based on the deviation of the nosewheel 350. Outputting, by the processing means, an adjustment of the speed of the aircraft based on a current position on the route line and a proximity to the at least one determined route feature 360.

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 comprising the steps of: providing (S1) a surroundings detection sensor on a tug, which is configured for manoeuvring a mobile object, continuously detecting (S2) a region of an outer surface of the mobile object with the surroundings detection sensor, continuously determining (S3) a position of a tug-bound system relative to the mobile object based on a predetermined geometric model of an outer surface of the mobile object and the detected region of the outer surface, wherein the steps of detecting (S2) and determining (S3) are performed when the mobile object is manoeuvred by the tug, and detecting (S4) objects in the surroundings of the mobile object with the surroundings detection sensor based on the step of continuously determining (S3) the position of the tug-bound system. Further a sensor system for detecting objects in the surroundings of the sensor system and for providing on a tug.

A method including: receiving data associated with a unique identity of a vehicle asset to identify the vehicle asset; receiving data associated with a unique identity of a smart wheel chock to identify the smart wheel chock; associating the identified vehicle asset with the identified smart wheel chock, such that a location of the smart wheel chock can represent a location of the vehicle asset; receiving location data associated with the location of the smart wheel chock, wherein the received location data is based, at least in part, on location data generated by one or more systems on the smart wheel chock; and identifying the vehicle asset location based on the received smart wheel chock location data such that the vehicle asset can be determined and relayed to a user device to locate the vehicle asset.

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.

Embodiments herein are directed to a visual docking guidance system configured to support an aircraft docking procedure where an approaching aircraft is docked at an airport stand. The VDGS is configured to detect the presence of the aircraft approaching the stand, identify at least the type of the approaching aircraft, determine a position of the approaching aircraft, output a visual guidance information via a display to the pilot of the aircraft, which supports the pilot during controlling movement of the aircraft to a stop position.

An runway incursion detection and warning system (100) for monitoring at least one entity (200), said system comprising airfield signaling devices (801.1), wherein the one or more airfield signaling devices (801.1) each comprise a sensor unit comprising an ultra-wideband pulse radio module configured to at least emit and / or receive at least one ultra-wideband pulse radio signal for object detection; a traffic monitoring and management unit (700) in data communication with the sensor unit of the airfield signaling devices, said traffic monitoring and management unit (700) being configured to determine at least one traffic parameter of the at least one entity (200), such as an incursion, depending on traffic data supplied by the sensor unit of at least one or more airfield signaling devices, data being extracted from the at least one ultra-wideband pulse radio signal received by the at least one of the one or more airfield signaling devices.

To provide a technique for reducing a work load by a user monitoring a monitoring target object.SOLUTION: An information processing device includes a monitoring target object detection part for detecting a position of a monitoring target object in a photographic image or a screen, a monitoring important area calculation part for calculating a position of a monitoring important area of a user in the photographic image or the screen, and a first incidental information arrangement part for determining a display position of first incidental information being information related to the monitoring target object at positions corresponding to the position of the monitoring target object and the position of the monitoring important area.SELECTED DRAWING: Figure 1

The invention relates to a method for predicting an item of information on the friction of an aircraft landing runway, the method comprising, for a given time: obtaining (S100) items of runway context data, obtaining (S101) items of friction information history data for the runway comprising items of data that are all older than the given time, a prediction (S102) by a prediction model configured to receive, as input, at least the items of context data for the given time and the items of friction information history data, and to deliver an item of predicted friction information (p) for the runway for the given time.

An object classification system for a vehicle detects, with a computing device, a first field of view with a first sensor and a second field of view with a second sensor, each sensor mounted on the vehicle. The computing device may fuse the first field of view with the second field of view to form a unified detection report, which may be used to automate portions of a taxiing operation in response to information in the unified detection report.