Disclosed is a fully automatic intelligent spraying robot. The robot includes a chassis, a driving device, a sliding device, a clamping device, a detection device and a control device; the driving device is fixedly connected to the chassis, and the driving device drives the chassis to move freely on the ground; the sliding device is fixed on the chassis; one end of the clamping device is used to fix a spray gun, and the other end of the clamping device is connected to the sliding device, and the clamping device can freely slide along the height direction of the sliding device; the detection device is fixed on the chassis, and the control device is also fixed on the chassis; and the control device is respectively in signal connection with the driving device, the sliding device, the clamping device and the detection device.

Certain aspects of the present disclosure provide techniques for sensor calibration. First sensor data is received from a first sensor and second sensor data is received from a second sensor, where the first sensor data and the second sensor data each indicate detected objects in a space. The first sensor data is transformed using a first transformation profile to convert the first sensor data to a coordinate frame of the second sensor data. The first transformation profile is refined based on a difference between the transformed first sensor data and the second sensor data.

A method is provided for classifying an object, in particular in the surroundings of a motor vehicle, using an ultrasonic sensor system, the ultrasonic sensor system including a plurality of spatially distributed ultrasonic sensors. A plurality of measurements are carried out continuously during a measurement, an ultrasonic signal being emitted by one of the ultrasonic sensors, a signal being received by at least one of the ultrasonic sensors which includes a plurality of reflected echo signals, so-called multiple echoes, and the received echo signals being associated with an object. A plurality of features may be determined from the received echo signals. The object is classified as a function of a combination of at least two of these features, in particular as a pedestrian.

The invention generally relates to sonar devices that integrate forward-looking sensors with down-looking echosounders, side scanning sonar, or both. The invention provides a sonar system that includes a forward-looking sonar device that operates in an integrated fashion with one or more other sonar devices so that a boater can have a reliable navigation tool while also using sonar for finding fish and other features on the seafloor. The forward-looking sonar can include a transducer array that takes a three-dimensional acoustic reading of the objects and seafloor ahead. The electronics that process the acoustic data can also process data from down-looking sonar, side-scanning sonar, or both and can integrate the information to present an expansive display in the boat, revealing the contents and the floor of the sea in front of, around, and under the boat.

The invention generally relates to sonar devices that integrate forward-looking sensors with down-looking echosounders, side scanning sonar, or both. The invention provides a sonar system that includes a forward-looking sonar device that operates in an integrated fashion with one or more other sonar devices so that a boater can have a reliable navigation tool while also using sonar for finding fish and other features on the seafloor. The forward-looking sonar can include a transducer array that takes a three-dimensional acoustic reading of the objects and seafloor ahead. The electronics that process the acoustic data can also process data from down-looking sonar, side-scanning sonar, or both and can integrate the information to present an expansive display in the boat, revealing the contents and the floor of the sea in front of, around, and under the boat.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.

The invention relates to a method for establishing the presence of a misalignment of at least one sensor within a sensor group with two or more sensors which detects objects in the surroundings of a motor vehicle, wherein at least two of the sensors differ from each other in their measuring principle and the measurement signals from the sensors are compared with each other.

Described herein is an ultrasound-based virus shield. The ultrasound-based virus shield may include an ultrasound sonar emitter configured to emit a first sonar signal including a header with key data, and an ultrasound sonar receiver configured to receive a second sonar signal. The ultrasound-based virus shield may include a processor configured to: calculate a distance between the ultrasound-based virus shield and a subject in response to determining that the second sonar signal includes the key data associated with the first sonar signal, and activate an ultrasound sterilizing emitter in response to determining that the distance calculated is less than a threshold distance. An ultrasound sterilizing emitter of the ultrasound-based virus shield may be configured to emit a sterilizing signal.

A vehicle control device is mountable on a vehicle. The vehicle control device includes: a processor; and a memory storing instructions that, when executed by the processor, cause the vehicle control device to perform operations including: acquiring detection information obtained by detecting an obstacle around the vehicle; performing collision determination of evaluating a possibility of collision with the obstacle; generating, based on the detection information, information on an approaching object that is an obstacle approaching the vehicle and information on a detection point indicating an obstacle that does not move; estimating a position of a shielding object based on the information on the detection point; evaluating, based on the position of the shielding object and the information on the approaching object, a ghost likelihood indicating a possibility that the approaching object is a ghost; and excluding, based on the ghost likelihood, the approaching object from the collision determination.

A work vehicle periphery monitoring system includes: an alarm range storage unit that stores an alarm range, in which an alarm output is required when an object is present, in a detection range of an object detection device that detects an object present in a periphery of a work vehicle; a work mode determination unit that determines a work mode of the work vehicle; an alarm range changing unit that changes the alarm range in the detection range when it is determined that the work mode is a specific work mode; and an alarm control unit that causes an alarm device to output an alarm when an object is present in the alarm range.