Patent classifications
B64C39/024
Unmanned Aerial Vehicle (UAV) Test Bench
An unmanned aerial vehicle (UAV) test bench, which falls within the technical field of UAV test, comprising a support component, a universal rotating component, a fixed component and a return component: the universal rotating component slides along the Z direction and is arranged on the support component, and one end of the universal rotating component can rotate in a universal way relative to the other end of the universal rotating component. The fixed component is connected to one end of the universal rotating component, and the fixed component is configured to fix the UAV. One end of the return component is connected to the support component, the other end is connected to the other end of the universal rotating component, and the return component is configured to drive the universal rotating component and the fixed component to reset.
IOT DRONE FLEET
Apparatus, systems, processes, and computer-readable mediums for facilitating the use of drones are described. For one embodiment, such a system includes a user element having a user application computer program configured to instruct a user interface device to facilitate use of user data and use of mission parameter(s) for a proposed drone mission. An owner element includes an owner application computer program configured to facilitate use of owner data and use of at least one drone parameter. A fleet system element is communicatively coupled to the user element and to the owner element and includes a computer system processor configured to facilitate use of a fleet record and use of at least one fleet parameter.
STIRLING POWERED UNMANNED AERIAL VEHICLE
An unmanned aerial vehicle (UAV) (103) is provided which includes a radioactive fuel source (111), and an external combustion engine (107) powered by said radioactive fuel source.
AUTONOMOUS BASE STATION AND NETWORK FOR UNMANNED VEHICLES
An autonomous base station for unmanned aerial vehicles (‘UAVs’) is disclosed, which includes a landing surface for a UAV, configured with at least one power transfer bus for supplying power to a power source of a UAV thereon. The base station further includes a networking module and data processing means operably connected to, and configured to control, the power transfer bus and the networking module. The data processing means is operably connected to the UAV through the networking module, and further configured to receive, store and process data from the UAV or another. The base station further includes a power supply operably connected to the or each power transfer bus, the or each networking module and the data processing means. A network of at least two such base stations is also disclosed, for sensing, modelling and monitoring an environment with UAVs.
CIRCUIT ANOMALY DIAGNOSIS DEVICE, CURRENT GENERATION DEVICE, AIRCRAFT DEPLOYABLE BODY EJECTION DEVICE, AIRCRAFT AIRBAG DEVICE, AND AIRCRAFT CUTOFF DEVICE
Provided is a circuit abnormality diagnosis device capable of simply and easily diagnosing a circuit abnormality, a current generating device including the circuit abnormality diagnosis device, a deployed object ejection device for a flight object including the current generating device, an airbag device for a flight object including the current generating device, and a cutting device for a flight object including the current generating device.
A circuit abnormality diagnosis device 110 includes a calculation unit 1, an inspection power supply 2, a rectifier element 3, overcurrent preventing resistors 4 and 5, a voltage amplification unit 6, a voltage reading unit 7, and a light emitting unit 8, and performs a circuit abnormality diagnosis at a preset time (including the time of initial mounting) or every predetermined time. The circuit abnormality diagnosis device 110 diagnoses (determines) that a case where a voltage value is within a range of a first voltage value V.sub.1 or more and a second voltage value V.sub.2 or less, which is set in advance as a range of voltage values indicating that a circuit is normal, is a normal state, a case where the voltage value is less than the voltage value V.sub.1 is a short-circuit state in which the circuit is short-circuited, and a case where the voltage value is higher than the voltage value V.sub.2 is a disconnection state in which the circuit is disconnected.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD, AND PROGRAM
A user terminal generates a virtual drone camera image, as an estimated captured image where it is assumed that a virtual drone camera mounted on a drone has captured an image of a planned landing position on the basis of a captured image obtained by capturing the planned landing position of the drone with the user terminal, and transmits the generated virtual drone camera image to the drone. The drone collates the virtual drone camera image with the image captured by the drone camera and lands at the planned landing position in the image captured by the drone camera. The user terminal generates a corresponding pixel positional relationship formula indicating a correspondence relationship between a pixel position on the captured image of the user terminal and a pixel position on the captured image of the virtual drone camera, and generates the virtual drone camera image using the generated relationship formula.
MOVING BODY
A moving body that can be transported in a state to stabilize the posture of the transport object, without affecting the transport object due to the inclination of the moving body when moving forward. A moving body comprising a holding mechanism that has a rotation unit that rotates in the pitch direction, and approximately horizontally holds an object to be transported from the side near the center of gravity of a transport unit capable of storage or above the center of gravity. Further, a moving body wherein the holding mechanism has a uniaxial rotation unit that rotates only in the pitch direction. Further, a moving body wherein the holding mechanism approximately horizontally holds the transport unit by active control. Alternatively, the holding mechanism approximately horizontally holds the transport unit by passive control.
AVIONICS-FREE GLOBAL AVIATION SURVEILLANCE SYSTEMS AND PROCESSES
A system for exploiting a transmitted signal from an aircraft or drone to determine parameters of the aircraft or drone's motion. The system includes at least one antenna for receiving the transmitted signal from the aircraft, and an analysis system for analyzing the transmitted signal as compared with stored characteristic anomalies associated with any of the aircraft or drone, and the at least one antenna, for confirming parameters of the aircraft or drone's motion.
UAV NEVIGATION CALIBRATION METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM AND UAV IMPLEMENTING THE SAME
This application discloses a calibration method for navigation of an unmanned aerial vehicle (UAV), a non-transitory computer-readable storage medium and a UAV implementing the same. The calibration method includes: collecting, during a flight of the UAV, reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M.sub.0 of the vector sensor according to the reference data; acquiring original data R.sub.k of any vector measured by the vector sensor; acquiring valid data V.sub.k according to the zero-point offset M.sub.0 and the original data R.sub.k; and control headings and postures of the UAV according to the valid data V.sub.k. With the calibration method in this application, the valid data V.sub.k is defined as a vector data acquired after a zero-point error of the original data R.sub.k is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.
UAV NEVIGATION CALIBRATION METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM AND UAV IMPLEMENTING THE SAME
This application discloses a calibration method for navigation of an UAV including a vector sensor. The calibration method includes: collecting, during a flight of the UAV, a current correction value and current data during a current measurement performed by the vector sensor; acquiring previous data during a previous measurement performed by the vector sensor; acquiring an adjustment quantity according to the current data and the previous data; acquiring a next correction value according to the current correction value and the adjustment quantity; and acquiring next original data during a next measurement performed by the vector sensor, acquiring next valid data according to the next original data and the next correction value , and controlling headings and postures of the UAV according to the next valid data. With the calibration method of this application, the next valid data V.sub.k+1 more closely approximated to a true value can be obtained.