The invention relates to an apparatus for representing user information including an antenna apparatus, a processing apparatus and a representation apparatus. The antenna apparatus receives signals of a transmitter in a scene with at least one directional characteristic relating to spatially different receive sensitivities. Alternatively or additionally, the antenna apparatus sends signals with at least one directional characteristic into a scene and receives signals of a transmitter from the scene. The processing apparatus processes the received signals with respect to the scene and determines representation data represented by the representation apparatus. Further, the invention relates to a respective method.

A radar sensor includes: a transceiver unit for emitting a radar beam along a beam path in an outgoing direction and receiving radar radiation along the beam path in an incoming direction; and a reference object placed in the beam path to redirect part of the outgoing radar beam in the incoming direction. The reference object is one of a plurality of reference objects placed in the radar beam. A size of the reference objects in at least one dimension is smaller than a wavelength of the radar beam.

A control system for a wheel loader includes an upper sensor installed in a driver cabin to obtain shape information data for an object in front of the driver cabin, a lower sensor installed in a front body to obtain shape information data for an object in front of the front body, a work apparatus position detection portion configured to detect a position of a work apparatus connected rotatably to the front body, and an obstacle detection control device configured to receive the shape information data from the upper sensor and the lower sensor and configured to calculate a distance to the object based on the information data of any one selected from the upper sensor and the lower sensor according to the detected position of the work apparatus.

A method and a system for radar detection system include, after cyclically generating a detection profile representing signal intensity as a function of position, cyclically analyzing the detection profile by alternating two modes of analysis. The first mode is suitable to detect a target entering the field of view, but may have poor sensitivity to targets that move at a low speed for a long time, such as a person entering a hazardous area and stopping. When this mode detects a target, a second mode is entered, which is more sensitive and suitable to detect the permanence of the target in the field of view, and in particular small movements connected to the vital signs of the target. The second mode may be based, for example, on complex signal deviations for each position with respect to a long-term complex mean value for that position. Only if the second mode does not detect any target for a certain restart time, the field of view is deemed to be clear and the first mode is used again.

A system and method for controlling a flying toy is shown and described herein. The flying toy may transmit a signal and receive a return signal after the signal reflects off of a surface. The return signal may be compared to the transmitted signal to determine information indicative of an error between the transmitted signal and the return signal. A control signal may be sent to a motor to control the speed of the motor based on the information indicative of the error. The motor may operate a propeller to control the distance between the flying toy and the surface.

An object recognition method includes generating a first frequency domain signal according to a first echo signal, updating at least one parameter of a primary classifier according to the first frequency domain signal and a training target corresponding to the first frequency domain signal, generating a second frequency domain signal according to a second echo signal, and generating object classification data corresponding to the second frequency domain signal according to the second frequency domain signal and the at least one parameter of the primary classifier. The object classification data is associated with presence of a second object.

A sensor calibration system includes a plurality of sensors and a user interface configured to receive user-provided locations of at least two sensors of the plurality of sensors. The sensor calibration system further includes a motorized apparatus including a drive system, at least one detector, and a localization system. The sensor calibration system further includes a controller communicatively coupled to the user interface and the motorized apparatus. The controller is configured to determine a whether each of at least two sensors is a key sensor based on the user-provided locations. The controller is configured to determine a path for the motorized apparatus based on the user-provided locations. The controller is further configured to determine a position of each sensor based on the location of the motorized apparatus when each sensor is detected by the at least one detector. The controller is further configured to relate the location of the motorized apparatus and the position of each sensor to a common origin.

For example, a radar processor may be configured to determine a first 1D AoA spectrum corresponding to a first dimension of an Azimuth-Elevation domain based on radar Rx data, to determine a second 1D AoA spectrum corresponding to a second dimension of the Azimuth-Elevation domain based on the radar Rx data, to detect one or more first object hypotheses in the first dimension based on the first 1D AoA spectrum, to detect one or more second object hypotheses in the second dimension based on the second 1D AoA spectrum, to determine a plurality of 2D object hypotheses corresponding to the Azimuth-Elevation domain based on the first object hypotheses and the second object hypotheses, and to generate 2D AoA information based on a 2D AoA spectrum analysis of the radar Rx data according to the plurality of 2D object hypotheses.

A sensor system, which includes multiple sensors configured to transmit and receive continuous waves of frequency-modulated chirp signals by using radio waves, includes a storage section that stores multiple chirp patterns having different patterns of the chirp signals, and a setting section that selects a different chirp pattern for each sensor from the multiple chirp patterns and sets the selected chirp pattern in association with the sensor.

According to a first aspect of the present inventive concept there is provided an autonomous mobile cleaning robot, comprising: a radar sensor configured to scan a surface, during a movement of the robot along the surface, by transmitting radar signals towards the surface and acquiring, at different positions along said movement, radar responses from the surface, a radar signal processor configured to extract one or more features of each acquired radar response from the surface, and a controller configured to control an operation of the robot based on the extracted one or more features.