A device comprises a processor coupled with an ultrasonic transducer which is configured to emit an ultrasonic pulse and receive corresponding returned signals associated with a distance range of interest in a field of view of the ultrasonic transducer. The processor is configured to: remove a low frequency component from the returned signals to achieve modified returned signals; calculate, from the modified returned signals, a variation in amplitude; determine a quantification of the variation in amplitude for a first subset of the modified returned signals associated with a first subrange of the distance range of interest; employ the quantification to correct for changes in the first subset to achieve first normalized sensor data for the first subrange, where the first normalized sensor data is sensitive to occurrence of change over time in the first subrange; and detect a moving object in the first subrange using the first normalized sensor data.

A device comprises a processor coupled with an ultrasonic transducer which is configured to emit an ultrasonic pulse and receive corresponding returned signals associated with a distance range of interest in a field of view of the ultrasonic transducer. The processor is configured to: remove a low frequency component from the returned signals to achieve modified returned signals; calculate, from the modified returned signals, a variation in amplitude; determine a quantification of the variation in amplitude for a first subset of the modified returned signals associated with a first subrange of the distance range of interest; employ the quantification to correct for changes in the first subset to achieve first normalized sensor data for the first subrange, where the first normalized sensor data is sensitive to occurrence of change over time in the first subrange; and detect a moving object in the first subrange using the first normalized sensor data.

The invention relates to a method for detecting at least one object (9a, 9b, 9c) in a surrounding area (7) of a motor vehicle (1) by means of a driver assistance system (2), in which a transmission signal is transmitted in each of chronologically consecutive measurement cycles via a distance sensor (4), and a first and a second echo of the transmission signal reflected by the at least one object (9a, 9b, 9c) are received; and, by means of a control device (3), a first distance value (a1) is determined based on the first echo, a second distance value (a2) is determined based on the second echo, and a height of the at least one object (9a, 9b, 9c) is determined based on the first and the second distance value (a1, a2); wherein the measurement cycles are carried out during a relative movement of the motor vehicle (1) with respect to the at least one object (9a, 9b, 9c); in at least two of the measurement cycles, a difference value is determined in each case, which describes a difference between the second distance value (a2) and the first distance value (a1); and the height of the at least one object (9a, 9b, 9c) is determined based on a change in the respective difference value determined in the at least two measurement cycles.

The present disclosure provides a detection system and a detection method. The microphone of the detection system receives the response signal formed according to the shape of the sealed cavity. The conversion unit transfers the response signal in the time domain to the frequency domain signal in the frequency domain. The calculation unit obtains every frequency value corresponding to the frequency gradient being zero of each frequency waveform which is chosen of the response signal. The average unit averages every frequency value corresponding to the frequency gradient being zero of each chosen frequency waveform into the average frequency value and outputs an average frequency value. The determination unit determines whether the average frequency value is located in the corresponding frequency tolerance range, so that the wearing status of the in-ear earphone is confirmed.

A system for monitoring animate presence, including one or more ultrasonic transducers configured to transmit an ultrasonic signal comprising a train of pulses of a selected frequency, one or more ultrasonic receivers configured to receive an echo signal in response to the transmitted ultrasonic signal, the echo signal including multiple pulses in response to the train of pulses of the transmitted signal, an electronic circuit for comparing the transmitted signal to the received echo signal to identify a phase shift between the transmitted signal and the received echo signal, and additionally identifying differences between the multiple pulses of the received echo signal; wherein the electronic circuit identifies animate presence based on the identified phase shift and the identified differences.

A system for monitoring animate presence, including one or more ultrasonic transducers configured to transmit an ultrasonic signal comprising a train of pulses of a selected frequency, one or more ultrasonic receivers configured to receive an echo signal in response to the transmitted ultrasonic signal, the echo signal including multiple pulses in response to the train of pulses of the transmitted signal, an electronic circuit for comparing the transmitted signal to the received echo signal to identify a phase shift between the transmitted signal and the received echo signal, and additionally identifying differences between the multiple pulses of the received echo signal; wherein the electronic circuit identifies animate presence based on the identified phase shift and the identified differences.

An ultrasonic gesture recognition system is provided that recognizes gestures based on analysis of return signals of an ultrasonic pulse that is reflected from a gesture. The system transmits an ultrasonic chirp and samples a microphone array at sample intervals to collect a return signal for each microphone. The system then applies a beamforming technique to frequency domain representations of the return signals to generate an acoustic image with a beamformed return signal for multiple directions. The system then generates a feature image from the acoustic images to identify, for example, distance or depth from the microphone array to the gesture for each direction. The system then submits the feature image to a deep learning system to classify the gesture.

Aspects of the subject technology relate to a method of correcting sensor position. The method comprises transmitting one or more first pulses of a first frequency range towards a first portion of a seabed and one or more second pulses of a second frequency range towards a second portion of the seabed, and receiving a first set and second set of backscattered data. The method further includes processing the first and second set of backscattered data to form a first and second set of image data and comparing the first set and second set of image data. The method further includes creating one or more error vectors between the first set and second set of image data, and updating the first set of backscattered data based on the one or more error vectors to produce an updated set of image data.

Aspects of the subject technology relate to a method of correcting sensor position. The method comprises transmitting one or more first pulses of a first frequency range towards a first portion of a seabed and one or more second pulses of a second frequency range towards a second portion of the seabed, and receiving a first set and second set of backscattered data. The method further includes processing the first and second set of backscattered data to form a first and second set of image data and comparing the first set and second set of image data. The method further includes creating one or more error vectors between the first set and second set of image data, and updating the first set of backscattered data based on the one or more error vectors to produce an updated set of image data.

A method for locating and quantifying obstructions in a pipe is described. The method comprises the steps of emitting at one end of the pipe, by means of a loudspeaker, an emitted signal comprising a wave train at a first frequency, the waves being of an acoustic type; receiving at the same end of the pipe, by means of a microphone, a reflected signal, resulting from the reflection of the wave train from obstructions in the pipe; determining a position of each of the obstructions according to a delay measured between the wave train of the emitted signal and the wave train of the reflected signal received by the microphone; and determining, for each of the obstructions, its degree of obstruction by extrapolating the energies of the emitted, reflected and transmitted signals. A system comprising the loudspeaker, the microphone, a processor, and a memory for performing the above method is also described.