A marine monitoring system includes a control device 1 and at least one flight vehicle 2. The control device 1 includes: a sensor unit 13 that measures at least one of an underwater environment and a sea-surface environment to acquire marine data; a control unit 16 that controls the flight vehicle 2; and a communication unit 15 that receives above-water data measured by the flight vehicle 2. The flight vehicle 2 includes a sensor unit 24 that measures an above-water environment according to control of the control device 1 to acquire the above-water data, and a communication unit 21 that transmits the above-water data to the control device 1.

A package delivery system includes a drone that delivers a package and a package delivery control apparatus, and further includes a communication control unit that transmits a delivery code of the package to a terminal apparatus that has placed an order for delivery of the package, an irradiation control unit causes the drone to emit light in which the delivery code is superimposed when the drone arrives at a destination, and a drone control unit that, when the delivery code that the terminal apparatus has acquired by transmission from the communication control unit and the delivery code that is acquired by receiving light emitted from the drone match with each other, approves the terminal apparatus to cause the drone to perform operation of releasing the package.

Some embodiments relate to a manned vertical take-off and landing (VTOL) aerial vehicle (AV) and to methods relating to such VTOL AVs. An example vehicle comprises: a body comprising a cockpit; a propulsion system carried by the body to propel the body during flight; pilot-operable controls accessible from the cockpit; a sensing system configured to generate sensor data associated with a region around the manned VTOL AV; a control system configured to enable control of the manned VTOL AV to be shared between a pilot and an autonomous piloting system, wherein the control system may utilise the sensor data; and a three-dimensional model of the region; and program instructions to: determine a state estimate and a state estimate confidence metric; generate a three-dimensional point cloud of the region; generate a plurality of virtual particles within the three-dimensional model; compute a plurality of scores, each score being associated with one of the plurality of virtual particles; and update the state estimate based at least in part on the computed scores, thereby determining an updated state estimate.

A controller for an aerial vehicle, the aerial vehicle comprising a fuselage, fixed wings, and a multi-rotor assembly, the fixed wings disposed on both sides of the fuselage, and the multi-rotor assembly comprising at least two rotors disposed on either the fuselage or the fixed wings. The controller may comprise at least one memory storing at least one instruction set configured to control the vehicle, and at least one processor, communicatively coupled to the at least one memory. When the aerial vehicle operates, the at least one processor executes the at least one instruction set to, during cruise of the aerial vehicle, control at least a portion of the rotors of the multi-rotor assembly to actively rotate to provide a force in a vertical direction so that the multi-rotor assembly and the fixed wings together provide lift for the aerial vehicle.

A battery powered octocopter drone with a protective frame. An articulating arm is mounted to the drone with a battery powered chain saw positioned along the end of the articulating arm. The chainsaw allows for the trimming of remote trees and bushes previously only accessible by a ladder or bucket lift. The drone is adjustable forward/aft to compensate for the center of gravity. The drone includes a remote control receiver, telemetry and an antenna allowing an operator to control all aspects of the drone from a remote position.

Autonomous return to dock and docking procedures includes a dock and an unmanned aerial vehicle (UAV). The dock includes a first fiducial and second fiducial. The UAV includes a camera, one or more processors, and one or more memories. The one or more processors configured to execute instructions stored in the one or more memories to determine to use the dock for a landing operation by processing a first image depicting the first fiducial, to determine a UAV placement for the landing operation at the dock by processing a second image depicting the second fiducial, and to perform the landing operation to land the UAV at the dock according to the UAV placement.

A method for obtaining an exercise video may be disclosed. According to an embodiment of the present invention, the method may comprises the steps of: receiving a first value for specifying a flight height of a drone, a second value for specifying a distance between a first sensor of the drone and a first point on a surface of a first athlete, and a third value for specifying an angular displacement of the drone in a direction from the first point toward the first sensor with respect to a front direction of the first athlete, confirming information that the drone is at the same height as the first value and obtaining video data obtained by a measurement value of at least one sensor of the drone and the first sensor.

A HAPS platform may execute a neural network (a HAPSNN) as it monitors air traffic; the neural network enables it to classify, predict, and resolve events in its airspace of coverage in real time as well as learn from new events that have never before been seen or detected. The HAPSNN-equipped HAPS platform may provide surveillance of nearly 100% of air traffic in its airspace of coverage, and the HAPSNN may process data received from a drone to facilitate safe and efficient drone operation within an airspace.

Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

An aerial vehicle according to an embodiment of the present technology includes a recording unit, a detection unit, and a reproduction unit. The recording unit records a flight parameter during flight in a state in which no sensor abnormality is detected. The detection unit detects the sensor abnormality. The reproduction unit reproduces the flight parameter on the basis of the sensor abnormality detected by the detection unit.