A method for measuring a windspeed vector is described. A true airspeed vector of a flying machine is measured while the machine is in flight using one or more nanowires on the flying machine. Each nanowire is configured to measure a value of local air velocity relative to the flying machine. A velocity of the flying machine relative to the ground is measured while the machine is in flight, and then (a) the true airspeed vector is subtracted from (b) the velocity of the flying machine relative to the ground. Other applications are also described.

A driving control device for a remote controlled helicopter includes an rpm detection unit that detects an rpm of a main rotor, a gyro sensor that detects angular velocities of control axes including roll, pitch and yaw axes, and a control unit that generates a control signal of a control actuator for controlling movements of the control axes based on the angular velocities detected by the gyro sensor and a steering signal sent from a transmitter. The control unit has information on the gyro sensitivities of the control axes and information on a set rpm of the main rotor which are preset for each of the flight states of the remote controlled helicopter, and corrects the gyro sensitivities based on a difference between the set rpm corresponding to a selected flight state among the flight states and an rpm of the main rotor detected by the rpm detection unit.

A method, the method comprising retrieving a sound intensity map for a venue, wherein the sound intensity map is divided up into a plurality of regions, wherein the sound intensity map predicts a sound quality for each region during a current event. Receiving data from a plurality of IOT enabled operated aerial vehicles, where each IOT enabled operated aerial vehicle of the plurality of IOT enabled operated aerial vehicles travels around different regions of the plurality of regions, wherein each IOT enabled operated aerial vehicle collects data during the event. Comparing the received data to the sound intensity map to determine the region where an audio component of a venue audio needs to be adjusted. Determining the adjustment required for the audio component and adjusting the audio equipment.

An apparatus for visual navigation of a UAV includes a geo-fiducial mat and a plurality of geo-fiducials. The geo-fiducial mat includes a landing pad region that provides a location for aligning with a landing pad of a UAV. The geo-fiducials each includes a two-dimensional (2D) pattern that visually conveys a code. The 2D pattern has a shape from which a visual navigation system of the UAV can visually triangulate a position of the UAV.

The present disclosure relates to an information processing device, an information processing method, and a program capable of avoiding a collision with an obstacle more reliably.

An avoidance trajectory setting unit sets an avoidance trajectory on which a flying object can avoid a collision with an obstacle on the basis of position information of the flying object and wind speed information of a flight position represented by the position information. The technology according to the present disclosure can be applied to air traffic control devices and drones.

A flight vehicle control and stabilization process detects and measures an orientation of a non-fixed portion relative to a fixed frame or portion of a flight vehicle, following a perturbation in the non-fixed portion from one or both of tilt and rotation thereof. A pilot or rider tilts or rotates the non-fixed portion, or both, to intentionally adjust the orientation and effect a change in the flight vehicle's direction. The flight vehicle control and stabilization process calculates a directional adjustment of the rest of the flight vehicle from this perturbation and induces the fixed portion to re-orient itself with the non-fixed portion to effect control and stability of the flight vehicle. The flight vehicle control and stabilization process also detects changes in speed and altitude, and includes stabilization components to adjust flight vehicle operation from unintentional payload movement on the non-fixed portion.

This disclosure describes an unmanned aerial vehicle that may be configured during flight to optimize for agility or efficiency.

The present application relates to an accelerator control method and device, a power system and an unmanned aerial vehicle (UAV). The method includes: receiving, by an electronic speed control (ESC), an accelerator signal through a serial communication interface; extracting accelerator control data from the accelerator signal; generating, according to the accelerator control data, a motor control signal for controlling operation of a motor; and transmitting the motor control signal to the motor. The accelerator signal received through the serial communication interface is a digital signal subjected to small interference during transmission, unlike an analog signal that is susceptible to interference such as impedance and capacitive reactance, which causes data inaccuracy. In addition, in the manner of serial communication, a higher baud rate may be adopted to shorten an accelerator control cycle, thereby achieving high-speed control of an accelerator and increasing the control frequency.

A method and system for developing a flight plan for taking images from an area of interest is disclosed. A series of trajectories is determined. Each trajectory is determined based on a logarithmic spiral curve derived from a range of predetermined basis angles and selecting a constant tangent angle between a radial line from the location of an image sensor to a target location, and a tangent line to the logarithmic spiral curve at the location of the image sensor. A set of trajectories from the series of trajectories is selected. The selected trajectories are scaled to cover the area of interest. The selected trajectories are transformed to coordinates corresponding to the area of interest. The set of scaled and transformed trajectories are stored as the flight plan for taking images of the area of interest.

Systems, methods, and computer-readable media are disclosed for drone vehicle integration and controls. A vehicle device for controlling an unmanned aerial vehicle (UAV) may receive an input indicating a request to deploy the UAV from a vehicle. The vehicle device may determine that one or more deployment conditions are satisfied. The vehicle device may cause deployment of the UAV. The vehicle device may determine a control command for the UAV and a vehicle instruction associated with operating the UAV. The vehicle device may determine that the vehicle instruction has been satisfied, and may send the control command once the vehicle instruction is satisfied.