An electronic face-identification device, which performs face scanning with ultrasonic waves, includes a housing and an ultrasound device disposed within the housing. The ultrasound device may be configured to transmit ultrasonic waves through air to a face and scan the face with the ultrasonic waves, to receive reflected waves through the air corresponding to reflections of the ultrasonic waves from the face, and to perform a recognition process for the face based on reflections of the ultrasonic waves from the face. The ultrasound device may include a plurality of ultrasound transducers, and electronic circuitry configured to transmit signals to the ultrasound transducers and receive signals from the ultrasound transducers. The face-identification device may be incorporated into various electronic equipment, such as hand-held equipment in the form of smartphones and tablet computers, as well as in larger scale installations at airports, workplace entryways, and the like.

A method, a control arrangement and a sensor target for enabling calibration of vehicle sensors. The sensor target comprises a plurality of recognition zones, each comprising a recognition pattern dedicated to a distinct sensor modality, for enabling calibration of vehicle sensors of the respective sensor modality; and localization dependent information associated with at least one recognition zone, provided to the vehicle via a vehicle sensor reading.

The present disclosure relates to a method for detecting a malfunction of at least one environment sensor of a motor vehicle operating while the motor vehicle passes a predefined gate region of a road network. Detection data is determined based at least in part on sensor data from the at least one environment sensor. A deviation of the detection data from reference data is determined. The reference data describes at least one object actually present in the gate region. An entry regarding a malfunction of the at least one environment sensor is stored when the deviation fulfills a predefined indicator criterion.

The invention relates to a method for operating an ultrasonic sensor (4) of a vehicle (1), in which a sound transducer element (11) of the ultrasonic sensor (4) is excited with a predetermined excitation signal, wherein the excitation signal has a predetermined current amplitude, an electrical test voltage (U) at the sound transducer element (11) resulting from the excitation signal is measured, and a diagnosis of the ultrasonic sensor (4) is carried out on the basis of the test voltage (U), wherein the ultrasonic sensor (4) is excited with the excitation signal in a measuring mode for the transmission of an ultrasonic signal, the electrical test voltage (U) is measured during the transmission, on the basis of the electrical test voltage (U) a reduced diagnosis is carried out, wherein the ultrasonic sensor (4) either continues to be operated in the measuring mode or is operated in a diagnostic mode for a complete diagnosis, depending on a result of the reduced diagnosis.

Embodiments of the present invention relates to a self-moving apparatus and a method for controlling same, the self-moving apparatus including: a housing; a movement module for driving the housing to move; an ultrasonic module configured to transmit an ultrasonic signal and receive an echo signal formed through reflection of an obstacle; and a control module installed on the housing and connected to the ultrasonic module, to implement an ultrasonic detection function by processing the echo signal, thereby controlling a movement mode of the movement module. The control module can control disabling of the ultrasonic detection function according to a received preset signal.

An object detection device is applied to an object detection system which includes an object detection sensor installed in a vehicle so as to be oriented outward to detect an object around the vehicle. The object detection device includes: an error-handling control section that notifies a user of a detection error, if any, occurring in the object detection sensor, and brings the object detection system into an error-handling state; an action determination section that determines whether an error correction action has been performed by a user to correct the detection error, under conditions where the user has been notified of the detection error occurring in the object detection sensor; and a cancellation control section that relaxes predetermined cancellation conditions for cancelling the error-handling state when the error correction action is determined to have been performed, compared to when not performed.

An object detection apparatus includes a sensor module including a sensor, and a controller that controls the sensor and generates output information, based on a signal that the sensor outputs; and a detector that determines presence or absence of the object, based on the output information. The detector executes a reference object detection process of detecting a reference object existing at a predetermined position within the detection range, by comparing the output information and predetermined reference information, and, when the reference object is detected, executes a correction process of correcting at least one of the output information or a parameter for the sensor, based on the reference information and reference object information that is information indicative of the reference object in the output information.

This disclosure relates, e.g., to a method for calibrating the alignment of a moving object sensor that comprises the steps: Detection of the movement of the object sensor, multiple detection of at least one static object by the moving object sensor at different positions of the object sensor, calculation of the relative positions of the static object with respect to the corresponding positions of the object sensor, calculation of anticipated positions of the static object from the relative positions while assuming an alignment error of the object sensor, calculation of an error parameter from the anticipated positions, and minimization of the error parameter by adapting the alignment error of the object sensor.

A plurality of control points (10) are defined which each have a known spatial relationship relative to an array of transducers. An amplitude is assigned to each control point (12). A matrix (16) is produced containing elements which represent, for each of the control points, the effect that producing a modeled acoustic field having the assigned amplitude with a particular phase at the control point has on the consequential amplitude and phase of the modeled acoustic field at the other control points (14). Eigenvectors of the matrix (18) are determined, each eigenvector representing a set of phases and relative amplitudes of the modeled acoustic field at the control points. One of the sets (20) is selected and the transducer array is operated to cause one or more of the transducers to output an acoustic wave each having an initial amplitude and phase such that the phases and amplitudes of the resultant acoustic field at the control points correspond to the phases and relative amplitudes of the selected set (22, 24).

Techniques are disclosed for systems and methods to provide speed through medium (STM) sensor calibration for mobile structures. An STM sensor calibration system includes a logic device configured to communicate with an STM sensor, an orientation sensor, and a position sensor for a mobile structure. The logic device determines a time series of estimated STM velocities and a time series of speed over ground (SOG) velocities during a dynamic maneuver of the mobile structure. The logic device determines an STM sensor calibration associated with the STM sensor based, at least in part, on the estimated STM velocities and the SOG velocities.