1463 results about "Flight data" patented technology

FIG. 1 shows a light airplane with the installed invention comprising: an Electronic Rear-view Mirror Component (100) in the cockpit usable by the pilot or co-pilot from the adjustment of twin mechanical arms, a Video Local Area Network (V-LAN) Component (3000), several Bug-Eye Sensor Components (2000) for the front-video camera (2004), rear video camera (2008), right video camera (2012), and left video camera (2016), and a Crash Prevention Recorder (CPR) Component (4000).

Systems and methods are provided for integrated control, access, and presentation of flight information within the cockpit. Cockpit instrument systems and methods are provided which include a first cockpit instrument panel which has a first display proximately located to a first bezel. The first display is operable to present navigational data, communication data, and flight information data including airspeed, attitude, and altitude. The systems and methods further include a second cockpit instrument panel located adjacent to the first cockpit instrument panel. The second cockpit instrument panel has a second display proximately located to a second bezel. The second display is operable to present navigational data, communication data, and flight information data including detailed engine parameters. When either the first or the second cockpit instrument panel fails, the remaining functional, first or second display, is adapted to provide all of the important flight information data, including airspeed, attitude, altitude, and detailed engine parameters.

A flight recorder designed for small aircraft captures various onboard flight data in real-time and stores it in non-volatile memory. Recorded data includes aircraft's instantaneous position, altitude, attitude, engine RPM, G forces, flap position, cockpit voice and others. These data are obtained from various sensors which are integrated into the recorder. At the end of a flight the recorded data is downloaded into a computer using a wireless communications data transceiver also integrated into the recorder. It does not require removal or attaching any equipment to be able to download data. In addition to accident investigation, applications include training, preventive maintenance and asset monitoring.

Collision detection and estimation from a monocular visual sensor is an important enabling technology for safe navigation of small or micro air vehicles in near earth flight. In this paper, we introduce a new approach called expansion segmentation, which simultaneously detects “collision danger regions” of significant positive divergence in inertial aided video, and estimates maximum likelihood time to collision (TTC) in a correspondenceless framework within the danger regions. This approach was motivated from a literature review which showed that existing approaches make strong assumptions about scene structure or camera motion, or pose collision detection without determining obstacle boundaries, both of which limit the operational envelope of a deployable system. Expansion segmentation is based on a new formulation of 6-DOF inertial aided TTC estimation, and a new derivation of a first order TTC uncertainty model due to subpixel quantization error and epipolar geometry uncertainty. Proof of concept results are shown in a custom designed urban flight simulator and on operational flight data from a small air vehicle.

A flight data recorder designed for small aircraft captures various onboard flight data in real-time and stores it in non-volatile memory. Recorded data includes aircraft's instantaneous position, altitude, attitude, engine RPM, G forces, flap position, cockpit voice and others. These data are obtained from various sensors which are integrated into the recorder. At the end of a flight the recorded data is downloaded into a computer using a wireless communications data transceiver also integrated into the recorder. It is an inexpensive system that does not require interfacing to any of the aircraft's instruments. It does not require removal or attaching any equipment to be able to download data. In addition to accident investigation, applications include training, preventive maintenance and asset monitoring.

Systems and methods for health management of rechargeable batteries are disclosed. In one embodiment, a rechargeable battery system includes a rechargeable battery, and a battery health management unit operatively coupled to the rechargeable battery and including a state of health module configured to estimate a battery health by receiving battery-related data and predicting one or more failure modes. The state of health module may further include a prognostic failure mode component configured to combine at least one flight data variable with at least one model-based prognostic. In alternate embodiments, the battery health management unit may further include a state of life module and a state of charge module.

A method for determining a shot trajectory of a trackable golf ball is disclosed, wherein substantially real-time position information transmitted by the ball for a time period is received and processed to determine a shot trajectory for a golf shot, wherein a velocity value and an acceleration value is determined, and wherein an initial and final location of the shot trajectory is determined based on at least one of the acceleration and velocity values. Also disclosed is a method for determining a spin rate of a trackable golf ball, wherein the shot trajectory and a profile of the shot trajectory are determined, wherein at least one of an initial velocity, a maximum height, an initial shot angle, a curvature of the trajectory, and an in-air shot distance are calculated using the shot trajectory, and wherein the spin rate is determined based on the calculated values.

Methods, systems, and apparatuses for the use of a wireless portable avionics device in conjunction with on-board flight systems and / or off-board service providers. The device may be used by aircraft personnel such as pilots and may act as a command / data entry and / or display tool to augment cockpit display systems. The device can receive flight data (e.g., a flight plan) from an off-board provider and automatically transfer it, as well as any previously prepared commands or data, to a flight management system and / or cockpit display systems. Commands and / or data (including pre-existing ones and ones entered in real-time) can be wirelessly transferred to the on-board flight systems which are not in direct physical contact with the device. Thus, the device can be easily manipulated during turbulence or under poor readability conditions. The device can be used to manipulate items shown on cockpit display systems in a timely and accurate manner.

An electromagnetic emissions free optical signal based helicopter landing assistance arrangement wherein helicopter rotor wash dust cloud-caused obfuscation of the intended landing site and other landing threats are overcome. Real time optical sourced data is collected early and used during helicopter approach to the intended landing site. Upgrading of this data for use during dust cloud presence is accomplished with image processing techniques applied in response to such inputs as helicopter flight data. Military use of the invention especially in current theatre conflict environments is contemplated. Dust cloud related landing hazards are disclosed as a significant difficulty in such environments and generate need for the invention.

Systems and methods of for providing various services, such as parking services, flight services, and fuel services, to a user using a satellite digital audio radio system are provided. Each data service can be provided independently or in any combination to a user, and each can be independently subscribed to by a user, in various exemplary business models. In exemplary embodiments of the present invention, a parking data service, providing, for example, information on parking garages near a certain location and the availability of parking spaces in parking garages can be provided. In exemplary embodiments of the present invention, a flight data services, providing, for example, information such as near real-time updates to changes in arrival and departure statuses of one or more commercial airline flights. In exemplary embodiments of the present invention, a fuel data service, providing, for example, information on fueling stations and the prices and fuel types available at fueling stations, can be provided. In exemplary embodiments of the present invention, such data services can be embedded in an SDARS data stream and made available to users on an SDARS receiver.

Preferred systems and methods for geographically mapping intrusions through network or authentication data and flight data correlation are described. In one aspect, methods and systems include receiving threat data, receiving network or authentication data, receiving flight location data, correlating the threat data and the network or authentication data with the flight location data to generate map data, and generating a map displaying a geographical location of the intrusion based on the map data.

The invention relates to a miniature unmanned helicopter auto flight control system which comprises an on-board control system, wherein, an on-board computer gets signals from sensors through a serial port, and exchanges data with a ground-based computer through on-board and ground wireless Ethernet access points; the on-board computer carries out serial communication with a digital signal processor to control a steering engine set of the unmanned helicopter; a remote control signal receiver outputs to the digital signal processor and then is connected with the on-board computer through a serial port, and an auto control signal and a ground remote control signal are accumulated to get a current steering engine control signal. And the auto flight control system also comprises a ground control system, wherein, the ground-based computer transmits flight control instructions to the on-board computer and receives and records flight data; through operating a ground helicopter remote controller, manual control instructions can be transmitted to the on-board remote control signal receiver via wireless radio frequency signals. The invention can improve the auto flight ability of the miniature unmanned helicopter, strengthen system reliability, expand the application range of the unmanned helicopter and enable the helicopter to complete given missions beyond the visual range.

An automated aircraft flight data and delivery management system and method operates in a normal state and a demand state. The demand state may be self-initiated or manually-initiated, and may be triggered during situations which include but are not limited to situations when the aircraft is in a potential or confirmed emergency situation. Data transmission increases in intensity when the system is in a demand state.

A flight deck display system for an aircraft or other vehicle includes a first data source of visual feature data that is indicative of visual features of a location of interest, a second data source of flight data for the aircraft, a processor architecture, and a display element. The processor architecture is operatively coupled to the first data source and to the second data source, and it is configured to process the visual feature data, process the flight data, and, based upon the visual feature data and the flight data, generate image rendering display commands. The display element receives the image rendering display commands and, in response thereto, renders a dynamic graphical representation of the location of interest using the visual feature data. The dynamic graphical representation of the location conveys an amount of visible detail that varies as a function of the flight data.

A method of visually guiding a pilot flying an aircraft using one or more conformal symbols whose position is dynamically updated throughout the guidance is provided herein. The method includes the following stages: determining a desired flight route of an aircraft, based on a user-selected maneuver; presenting to a pilot, on a display, at least one 3D visual symbol that is: (i) earth-space stabilized, and (ii) positioned along a future location along the desired route; computing an updated desired route based on repeatedly updated aircraft flight data that include at least one of: location, speed, and spatial angle, of the aircraft; and repeating the presenting of the at least one 3D visual symbol with its updated location along the updated desired route.

A flight data collection and transmission system includes a data interface for receiving digital flight data, means for formatting the data as a binary or text file, means for incorporating the data file into an email, means for transmitting the email using a communication system. A method of collecting and transmitting aircraft data includes the steps of receiving and storing digital flight data, creating a data file and transmitting the data as part of an email upon the happening of a defined event.

An electronic device for controlling an unmanned aerial vehicle (UAV) displays a portion of a 3D virtual scene of a monitored area of the UAV on a screen, and displays a representation icon of the UAV on a preset position of the screen. The electronic device further converts an operation signal to a control signal, and sends the control signal to control movements of the UAV. After receiving flight data from the UAV, the electronic device recognizes movements of the UAV according to the flight data, and determines adjustments to the portion of the 3D virtual scene, to control displaying of the 3D virtual scene based on the recognized movements while maintaining the representation icon of the UAV on the preset position and maintaining a direction the user presumed to be viewing the 3D virtual scene the same as a flight orientation of the UAV.

A method for providing video images to a remote viewer using a video communication system, comprising: operating a a video communication client in a local environment connected by a communications network to a remote viewing client in a remote viewing environment; capturing video images of the local environment; analyzing the captured video images with the video analysis component to detect ongoing activity within the local environment; characterizing the detected activity within the video images with respect to attributes indicative of remote viewer interest; determining whether acceptable video images are available; receiving an indication of whether the remote viewing client is engaged or disengaged; and transmitting the acceptable video images of the ongoing activity to the remote viewing client if the remote viewing client is engaged, or alternately, if the remote viewing client is disengaged, recording the acceptable video images into a memory.

A system to monitor aircraft equipment, having a chassis, defining an interior compartment, an arrangement configured to accept input data of at least one aircraft parameter, the arrangement configured to be placed within an aircraft, crash survivable cockpit voice and flight data recorder, and a power supply arrangement connected to arrangement configured to accept input data and the recorder.

The invention discloses an unmanned aerial vehicle trajectory optimization method and device based on deep reinforcement learning and an unmanned aerial vehicle. The method comprises the steps: constructing a reinforcement learning network in advance, and generating state data and action decision data in real time in a flight process of an unmanned aerial vehicle; and taking the state data as input, the action decision data as output and the instantaneous energy efficiency as reward return, optimizing strategy parameters by utilizing a PPO algorithm, and outputting an optimal strategy. The device comprises a construction module, a training data collection module and a training module. The unmanned aerial vehicle comprises a processor, and the processor is used for executing the unmanned aerial vehicle trajectory optimization method based on deep reinforcement learning. The method has the capability of carrying out autonomous learning from accumulated flight data, can intelligently determine the optimal flight speed, acceleration, flight direction and return time in an unknown communication scene, concludes a flight strategy with the optimal energy efficiency, and is higher in environment adaptability and generalization capability.

The invention discloses an unmanned helicopter relay data link system. The unmanned helicopter relay data link system comprises a relay unmanned helicopter module, a base station module, a ground station module, a remote controller module, a wireless transmitting module, a wireless receiving module, a relay unmanned helicopter main controller module and a target unmanned helicopter main controller module. The invention also discloses a control method for controlling the unmanned helicopter relay data link system. The control method comprises the following steps: 1, outputting the parameters of a controller and transmitting the output parameters to the base station module via a UDP network protocol by the ground station module; 2, encapsulating acquired flight control data and task data into one data frame by the base station module; 3, extracting the flight data and the task data in a data part respectively; 4, comparing the destination address of the data frame with the local address of an unmanned helicopter; 5, acquiring sensor data; and 6, after the base station module receives downlink data packets, forwarding the received downlink data packets to the ground station module. The unmanned helicopter relay data link system has the advantages of low communication cost, high transmission efficiency, high generality and the like.

A device for providing flight condition information and a method of displaying such information. In one form, the device functions as a backup system to provide flight condition information in the event of partial or complete inoperability of a primary flight instrument system, or to complement such primary flight instrument system. Numerous sensors collect flight data, which can pass through devices to convert and manipulate the data to produce flight condition information that can be displayed in such a way as to reduce a pilot's cognitive workload. The information displayed includes at least flight path angle, lateral acceleration, and turn rate. Additional information that may be displayed includes heading information, as well as information relating to airspeed and altitude, among others. In another form, the device can be part of either a primary or backup system.

An automated flight control system for an unmanned aerial vehicle (UAV), comprising a flight computer for managing functions related to a flight of the UAV, an application processor for managing functions on the UAV not related to flight, a flight data recorder to record data related to a flight of the UAV, an attitude and heading reference system, a global navigation satellite system receiver, a self-separation module for communicating with another aircraft for the purpose of avoiding a collision, and a wireless communications module for communicating with the remote system, wherein the automated flight control system is capable of receiving operational instructions via the wireless communications module from the remote system.

A routing tool is disclosed. In one embodiment, the method and system include receiving flight data and geographic data in the aircraft, and generating route data based on the flight data and the geographic data. The route data provides information about attainable landing areas for the aircraft.

The invention discloses a dual-redundancy autonomous flight control system for micro-miniature unmanned helicopters, which comprises an airborne control system and a ground remote control and remote measuring system, wherein the airborne control system acquires the flight data of a helicopter, controls the unmanned helicopter to fly in accordance with scheduled subjects according to a flight control algorithm, and sends the flight data and algorithm results to the ground remote control and remote measuring system through an airborne data transfer radio in the airborne control system; and the ground remote control and remote measuring system receives the data sent by the airborne control system, displays the data through a ground station so as to enable ground experimenters to know the flight and control states of the helicopter, and uploads a control instruction in real time through the ground station so as to adjust and change the flight subjects and control state of the helicopter. According to the invention, the autonomous capacity of small unmanned helicopters can be improved, and the reliability of the system can be increased; and especially, when a flight control computer has failures, the safety of a test platform can be ensured to the maximum extent.

The invention relates to an computer-aided instruction system and method for aviation analog airplane exercise, wherein the system comprises, (1) at least a data processing server for receiving and storing the flight data and trainee exercise quality estimation results collected by the analog airplane flight data acquisition device, (2) an analog airplane data sending terminal program module embed in the master control program of the analog airplane, (3) at least a user terminal for displaying user interface and entry instruction connected to the data processing server, (4) an estimation workstation connected to the data processing server. The invention can realize the objective estimation for exercise quality of analog airplane flight.

A flight information communication system has a plurality of RF direct sequence spread spectrum ground data links that link respective aircraft-resident subsystems, in each of which a copy of its flight performance data is stored, with airport-located subsystems. The airport-located subsystems are coupled by way communication paths, such as land line telephone links, to a remote flight operations control center. At the flight operations control center, flight performance data downlinked from plural aircraft parked at different airports is analyzed. In addition, the flight control center may be employed to direct the uploading of in-flight data files, such as audio, video and navigation files from the airport-located subsystems to the aircraft.

The invention provides a control method and system of an unmanned aerial vehicle group. The method comprises the following steps that through data collecting equipment of each unmanned aerial vehicle, video images around each unmanned aerial vehicle are obtained, and the topological structure of the unmanned aerial vehicle group and environment point cloud distribution are obtained; according to the topological structure and flying missions, the flying path of each unmanned aerial vehicle is planned; through sensors, flying data of each unmanned aerial vehicle and the distance between adjacent unmanned aerial vehicles are obtained; and according to the flying paths, environment point cloud distribution, the flying data and the distance between adjacent unmanned aerial vehicles, a global map for flying of each unmanned aerial vehicle of the unmanned aerial vehicle group is established, and flying of the unmanned aerial vehicle group is controlled through the global map. According to the method, by generating the global map, the unmanned aerial vehicles are controlled based on obstacles and the flying data of the unmanned aerial vehicles, accordingly, the cooperative work capacity of the unmanned aerial vehicles is improved, and mission completing efficiency is guaranteed.

Disclosed are a system, method, and program storage device implementing the method, of data fusion, wherein the method comprises determining pre-launch data affecting a flight of a self-sensing air-bursting ballistic projectile, the projectile comprising a plurality of independent data sensors; predicting a trajectory path of the projectile based on a target location of the projectile; calculating trajectory path errors based on the predicted trajectory path; generating in-flight data from each of the data sensors; combining the in-flight data into a single time-series output using a fusion filter; tracking a trajectory position of the projectile based on the single time-series output, pre-launch data, and the trajectory path errors; comparing the tracked trajectory path with the predicted trajectory path; analyzing the in-flight data to gauge successful navigation of the projectile to the target location; and self-guiding the projectile to the target location based on the trajectory position.