In some implementations, a method of verifying operation of a sensor is provided. The method includes causing a sensor to obtain sensor data at a first time, wherein the sensor obtains the sensor data by emitting waves towards a detector. The method also includes determining that the detector has detected the waves at a second time. The method further includes receiving the sensor data from the sensor at a third time. The method further includes verifying operation of the sensor based on at least one of the first time, the second time, or the third time.

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 computer-implemented method including: triggering, with at least one processor, an acoustic wave generator to generate a predefined acoustic wave directed toward a 3-dimensional (3D) layout associated with an entity from plurality of entities, wherein each of the plurality of entities is registered with a corresponding 3D layout embedded with a predefined number of 3D geometric figures; in response to receiving a modified acoustic wave from the 3D layout, comparing, with at least one processor, the modified acoustic wave with a plurality of calibrated acoustic waves associated with the plurality of entities to determine identification details comprising a match between the modified acoustic wave and a calibrated acoustic wave from the plurality of calibrated acoustic waves; and based on the identification details, identifying, with at least one processor, the entity related to the calibrated acoustic wave. A system and medium are also disclosed.

A vehicular test system for testing a vehicular sensing system includes a sensor support structure having a proximal end disposed at a vehicle, a distal end extending away from the vehicle, and a force providing element that provides a force to move the distal end of the sensor support structure. A vehicular sensor is disposed at the distal end of the sensor support structure. When the vehicular sensor is approaching a collision with an object, such as during testing of vehicular sensors and vehicular sensing systems, a control controls the force providing element to move the distal end of the sensor support structure and the vehicular sensor to avoid the collision.

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.

The present invention relates to a method for computational noise compensation for an ultrasonic sensor system (1) that is mounted in a concealed manner, in particular for a vehicle with a wall material (2), including the following steps: detecting reference surroundings information (100) comprising noise signal information (3) relating to a wall material (2) and/or airborne sound signal information (4), using an ultrasonic sensor (5) of the ultrasonic sensor system (1); storing the reference surroundings information (200); detecting real-time surroundings information (300) comprising noise signal information (3) relating to the wall material (2) and/or airborne sound signal information (4), using the ultrasonic sensor (5); and forming a difference signal between the pieces of surroundings information (400) of reference surroundings information and real-time surroundings information, using a computational unit (6).

The present invention also relates to a system for computational ultrasound compensation having means for performing the steps of the method. The present invention further relates to a vehicle having the system for computational ultrasound compensation. The present invention furthermore relates to a computer program, to a data carrier signal, and to a computer-readable medium.

Techniques and apparatuses are described that implement face authentication anti-spoofing using ultrasound. In particular, a face-authentication system uses ultrasound to distinguish between a real human face and a presentation attack that uses instruments to present a version of a human face. The face-authentication system includes or communicates with an ultrasonic sensor, which can detect a presentation attack and notify the face-authentication system. In general, the ultrasonic sensor analyzes characteristics of a presented object and determines whether the object represents a human face or a presentation attack instrument. In this way, the ultrasonic sensor can prevent unauthorized actors from using the presentation attack to gain access to a user's account or information.

Techniques and apparatuses are described that implement face authentication anti-spoofing using interferometry-based coherence. In particular, a face-authentication system uses ultrasound to distinguish between a real human face and a presentation attack that uses instruments to present a version of a human face. The face-authentication system includes or communicates with an ultrasonic sensor, which can detect a presentation attack and notify the face-authentication system. In general, the ultrasonic sensor uses interferometry to evaluate an amount of coherence (or similarity) between reflections observed by two or more transducers. In this way, the ultrasonic sensor can prevent unauthorized actors from using the presentation attack to gain access to a user's account or information.

Techniques and apparatuses are described that implement face authentication anti-spoofing using ultrasound. In particular, a face-authentication system uses ultrasound to distinguish between a real human face and a presentation attack that uses instruments to present a version of a human face. The face-authentication system includes or communicates with an ultrasonic sensor, which can detect a presentation attack and notify the face-authentication system. In general, the ultrasonic sensor uses power-spectra to evaluate an amount of variance observed over time within at least one receive channel. In this way, the ultrasonic sensor can prevent unauthorized actors from using the presentation attack to gain access to a user's account or information.

A method for calculating a reference value of an ultrasonic sensor includes: transmitting a first ultrasonic signal from the ultrasonic sensor toward a first surface of a contact device while an object is positioned on the first surface; generating a plurality of ultrasonic images based on a first ultrasonic echo signal; selecting an ultrasonic image having a highest similarity to a reference image from among the ultrasonic images; storing a first parameter and a second parameter corresponding to a selected ultrasonic image; while the object is not positioned on the first surface, transmitting a second ultrasonic signal based on the first parameter from the ultrasonic sensor toward the first surface; and calculating the reference value of the ultrasonic sensor using the second parameter and a second ultrasonic echo signal.