Systems and methods for operating a hoist and hook assembly may determine a position of a target using a position sensor. A hook assembly may be positioned in response to the position of the target as detected by the position sensor. Positioning the hook assembly may include articulating a boom coupled to a hoist, using one or more local thrust sources on the hook assembly, and/or moving an airframe relative to the position of the target.

The hybrid vehicle is configured to control an engine and a motor, such that the vehicle is driven in one drive mode among a plurality of drive modes including a Charge Depleting or CD mode in which electric power in a power storage device is consumed and a Charge Sustaining or CS mode in which state of charge of the power storage device is sustained. When a sequential position is selected by a driver in an accelerator-off state, the hybrid vehicle narrows a range of a braking torque applicable to the vehicle in the CD mode as the drive mode, compared with in the CS mode as the drive mode.

A vehicle which includes a flight controller that is configured to receive one or more desired forces or moments associated with a plurality of rotors in the vehicle and determine a plurality of motor control signals for the plurality of rotors based at least in part on the desired forces or moments and an expected rotor noise produced by at least one of the plurality of rotors. The vehicle further includes the plurality of rotors, where the plurality of motor control signals is used to control the plurality of rotors.

Aerial vehicles may be outfitted with one or more ultrasonic anemometers, each having ultrasonic transducers embedded into external surfaces. The transducers may be aligned and configured to transmit acoustic signals to one another, and receive acoustic signals from one another, along one or more paths or axes. Elapsed times of signals transmitted and received by pairs of transducers may be used to determine air speeds along the paths or axes. Where two or more pairs of transducers are provided, a net vector may be derived based on air speeds determined along the paths or axes between the pairs of the transducers, and used to generate control signals for maintaining the aerial vehicle on a desired course, at a desired speed or altitude, or in a desired orientation. The transducers may be dedicated for use in an anemometer, or may serve multiple purposes, and may be reoriented or reconfigured as necessary.

Aerial vehicles may be outfitted with one or more ultrasonic anemometers, each having ultrasonic transducers embedded into external surfaces. The transducers may be aligned and configured to transmit acoustic signals to one another, and receive acoustic signals from one another, along one or more paths or axes. Elapsed times of signals transmitted and received by pairs of transducers may be used to determine air speeds along the paths or axes. Where two or more pairs of transducers are provided, a net vector may be derived based on air speeds determined along the paths or axes between the pairs of the transducers, and used to generate control signals for maintaining the aerial vehicle on a desired course, at a desired speed or altitude, or in a desired orientation. The transducers may be dedicated for use in an anemometer, or may serve multiple purposes, and may be reoriented or reconfigured as necessary.

Unmanned aerial vehicle-based systems and methods for agricultural landscape modeling are disclosed herein. An example unmanned aerial vehicle includes a communicator to receive an instruction to request the unmanned aerial vehicle to fly over an area of interest. The instruction is from a vehicle in the area of interest. The unmanned aerial vehicle is to fly over the area of interest. The example unmanned aerial vehicle includes a camera to generate image data for the area of interest. The example unmanned aerial vehicle includes a data generator to generate a vegetation landscape model of the area of interest based on the image data. The communicator is to communicate the vegetation landscape model to the vehicle.

An apparatus for controlling a gimbal includes one or more processors individually or collectively configured to determine an operation mode of the gimbal according to a mode selection activation condition. The operation mode includes a walk operation mode or a sensitive operation mode. the one or more processors are further configured to, in response to determining that the operation mode is the walk operation mode, control the gimbal to adjust attitude at a lower responding speed than in the sensitive operation mode.

An apparatus for controlling a gimbal includes one or more processors individually or collectively configured to determine an operation mode of the gimbal according to a mode selection activation condition. The operation mode includes a walk operation mode or a sensitive operation mode. the one or more processors are further configured to, in response to determining that the operation mode is the walk operation mode, control the gimbal to adjust attitude at a lower responding speed than in the sensitive operation mode.

A detection ECU detects, from an image captured by an in-vehicle camera, left and right lane markings defining an own lane which is a traffic lane in which an own vehicle is traveling, and performs following travel control to cause the own vehicle to travel following a preceding vehicle which travels ahead in the own lane defined by the detected lane markings. Furthermore, when determining that the measured inter-vehicular distance is shorter than a predetermined distance and at least one of the detected lane markings has become undetectable during execution of the following travel control, the detection ECU determines based on the estimated and calculated lane markings that the preceding vehicle has deviated to a traffic lane different from the own lane.

Drone space is defined according to a building model and a buffer space. At least one three-dimensional geometry is identified from the building model. The buffer space is calculated from the three-dimensional geometry. Coordinates for a drone air space are defined based on the buffer space. At least one path segment may be identified based on the coordinates for the drone air space, and the coordinates for drone air space are stored in a map database in association with the at least one path segment.