A system that is mountable to an unmanned vehicle and a method of operation is provided. The system includes an attachment plate configured to couple to the unmanned vehicle, the attachment plate having a first feature. A control module is configured to removably couple to the attachment plate, the control module having one or more processors and a power source, the control module having a pin arranged to move from a first position to a second position when the control module is coupled to the attachment plate, the one or more processors being energized when the pin is moved from the first position to the second position. A payload having an energetic element is provided, the payload being coupled to the control module.

A controller for an unmanned aerial vehicle (UAV) comprising an image capture means, the controller comprising: inputs arranged to receive: positional data relating to the UAV, a vehicle and a user device; image data captured by the image capture means; a processor arranged to process the received positional data to determine the relative locations of the UAV, vehicle and user device; an output arranged to output a control signal for controlling the UAV and to output an image signal comprising captured image data; wherein the processor is arranged to: generate the control signal for the UAV such that the image data captured by the image capture means comprises at least an image of an obscured portion of the vehicle that is obscured from a field of view of a user of the user device.

A method for controlling a movable object is provided. A user input that includes a first parameter corresponding to a first coordinate system is received and an operation mode is determined. In response to determining the operation mode being a first operation mode, a second parameter corresponding to a second coordinate system is generated and the movable object is controlled to move based on the second parameter. In response to determining the operation mode being a second operation mode, the first parameter is translated to a third parameter corresponding to the second coordinate system and the movable object is controlled to move based on the third parameter.

Many different types of systems are utilized and tasks are performed in a marine environment. The present invention provides various configurations of castable devices that can be operated and/or controlled for such systems or tasks. One or more castable devices can be integrated with a transducer assembly, such as a phased array, that emits sonar beams and receives sonar returns from the underwater environment. Processing circuitry may receive the sonar returns, process the sonar returns, generate an image, and transmit the image to a display.

In some examples, an unmanned aerial vehicle (UAV) employs one or more image sensors to capture images of a scan target and may use distance information from the images for determining respective locations in three-dimensional (3D) space of a plurality of points of a 3D model representative of a surface of the scan target. The UAV may compare a first image with a second image to determine a difference between a current frame of reference position for the UAV and an estimate of an actual frame of reference position for the UAV. Further, based at least on the difference, the UAV may determine, while the UAV is in flight, an update to the 3D model including at least one of an updated location of at least one point in the 3D model, or a location of a new point in the 3D model.

A method is provided. An unmanned aerial vehicle (UAV) is operated. A position of the UAV is determined while in flight, and a nonce is generated. A Merkel root is generated based at least in part on a timestamp and the position of the UAV. A current block is calculated based at least in part on a previous block, the Merkel root, and the nonce, and the current block, the timestamp, the nonce, the prior block, and the position of the UAV are transmitted.

Altitude based device management is provided herein. A method can comprise transmitting, by a mobile device comprising a processor, a signaling message to a network device of a wireless network. The signaling message can comprise first data indicating a device type of the mobile device and second data indicating a distance measurement of the mobile device with respect to a reference point. The method can also comprise implementing, by the mobile device, a first instruction related to a power setting and a second instruction related to an operating parameter. The first instruction and the second instruction can be received from the network device and can be based on the device type of the mobile device and the distance measurement of the mobile device.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test a sensor. In one aspect, the method includes actions of detecting a message (i) broadcast by the drone and (ii) indicating that the drone is going to administer a test of a sensor, determining, by the monitoring system and based on the message and (i) sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message or (ii) a lack of sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message, whether the sensor is functioning properly, and in response to a determination that the sensor is not functioning properly, storing data indicating that the sensor is not functioning properly.

A flight management system for unmanned aerial vehicles (UAVs), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV carries on-board a 4G modem, an antenna connected to the modem for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

An unmanned aircraft system includes a testing and calibration system that enables automated testing of movable parts of an unmanned aircraft. The testing and calibration system uses a camera-based technique to determine the position and angle of movable parts, in order to establish whether or not those parts are moving in a manner consistent with correct function.