Where a body includes one or more inertial motion sensors, such as gyroscopes or accelerometers, the body's response to inertial motion may be simulated by actually imparting inertial motion to the sensors, and interpreting signals received from such sensors in response to the inertial motion. Gyroscopes or accelerometers of an aerial vehicle may be physically removed therefrom and remain in communication with an inertial navigation system, and rotated by one or more motors or motorized components to simulate angular velocities on the gyroscopes or accelerations on the accelerometers. Signals received by the inertial navigation system from the gyroscopes or the accelerometers may be evaluated to confirm the operability of the gyroscopes and accelerometers, the responsiveness of the inertial navigation system to sensed inertial motion or events associated with such inertial motion, or any other aspect of the aerial vehicle.

In one embodiment, a drone is provided with several inflatable tubes that each connect a propeller component to a body of the drone. In order to increase the handling of the drone, a patch is placed on the top surface of each inflatable tube that includes some number of shape memory alloy wires. The shape memory alloy wires shrink and become rigid when an electric current is applied to them. The optimal locations on each tube to place the patches, and the shape of the patches, is determined using a topology optimization. Later, the wires in the patches can be selectively activated or deactivated by an operating entity to provide an additional means to control the drone. Additionally, the drone is equipped with several landing arms which may include a shape memory alloy torsion coil spring to help the arm deployment during landing.

The presently disclosed subject matter includes a camera system for aerial photography applications which can be mounted on an aircraft and be operated for obtaining images of a surveyed area. The proposed camera system comprises a camera control unit operatively connected to a camera supported by a pivotal supporting device such as a gimbal assembly. The camera is continuously moved along a scanning line without stopping and is operated to capture images in a certain frame rate, this is carried out by measuring as well as regulating the angular velocity of the camera to adapt the pictured and the non-pictures zones over the scanning line.

A system for tracking a below-ground transmitter from an aerial receiver. The receiver has an antenna assembly, a processor, and a propulsion system. The antenna assembly detects the magnetic field from an underground transmitter and generates an antenna signal. The processor is programmed to receive the antenna signal and generate a command signal, which moves the receiver to a position above the transmitter. Once in the desired position, which may be a reference plane at a fixed elevation, the antenna assembly measures the magnetic field to determine the location of the drill bit along borepath.

Flow conditions affecting an aerial vehicle may be determined using one or more auxiliary aerial vehicles, which may be outfitted with one or more airspeed sensors and other systems for modeling air flow within a vicinity of the aerial vehicle. With the auxiliary aerial vehicles operating in selected positions or formations with respect to the aerial vehicle, the aerial vehicle may perform one or more testing evolutions requiring the operation of any propulsion motors, control surfaces or other systems. Flow conditions during the testing evolutions may be modeled based on data captured by sensors aboard the auxiliary aerial vehicles, and the modeled flow conditions may be used to determine whether the testing evolutions were successfully completed by the aerial vehicle.

An authentication method includes that an authentication apparatus of an unmanned aerial vehicle (UAV) generates a session key, the authentication apparatus receives a device identification (ID) of a device and a randomly generated random number from the device of the UAV, the authentication apparatus obtains a device key of the device according to the device ID of the device, the authentication apparatus encrypts the session key and the random number according to the device key of the device, and the authentication apparatus sends the encrypted session key and the encrypted random number to the device.

Embodiments include devices and methods for adaptive image processing in an unmanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image, while a processor of the UAV obtains attitude information from one or more attitude sensors. Such information may include the relative attitude of the UAV and changes in attitude. The processor of the UAV may determine a UAV motion mode based, at least in part, on the obtained attitude information. The UAV motion mode may result in the modification of yaw correction parameters. The processor of the UAV may further execute yaw filtering on the image based, at least in part, on the determined motion mode.

Systems and method for creating, modifying, and utilizing a virtual 360-degree view of a telecommunications site obtaining data capture from the telecommunications site, wherein the data capture comprises one or more of photos and video; processing the data capture to create a three-dimensional (3D) model of the telecommunications site in a first state, buildings, and constructions therein; importing the 3D model into modification software and adding one or more objects to the 3D model utilizing the modification software, wherein the one or more objects comprise one or more of geography, buildings, and constructions planned as possible additions to the telecommunications sites; creating a modified 3D model with the one or more objects and the 3D model in the first state such that the modified 3D model represents the telecommunications site in a second state; and utilizing the modified 3D model for one or more of planning, engineering, and installation.

Various embodiments include devices and methods for mitigating the bias of a magnetometer resulting from operating various hardware components on a device such as a drone or a computing device. Various embodiments may improve the accuracy of magnetometer output by estimating the bias or magnetic interference caused by the hardware components based on a utilization or operating state of each hardware component, and adjusting the magnetometer output to compensate for the estimated bias.

An unmanned aerial vehicle (UAV) includes a housing forming a central body of the UAV and including an internal compartment, one or more electrical components disposed within the internal compartment and configured to affect operation of the UAV, and an inertial measurement unit (IMU) disposed in an external compartment external to the central body. The IMU is isolated from the internal compartment such that a barometric pressure in the external compartment is independent of a barometric pressure in the internal compartment.