Patent classifications
G01S7/5273
DEVICE AND METHOD FOR REDUCING NOISE OF EXTERNAL MEASUREMENT SENSOR OF MOBILITY
A device and method for reducing noise of an external measurement sensor of mobility, including a storage unit that stores measurement values of an external measurement sensor of mobility including an ultrasonic sensor measuring distance values between the mobility and an object outside the mobility; and an operation unit that generates a plurality of functions capable of being derived from the measurement values stored in the storage unit, derives a final function having the most measurement values within a first range, among the plurality of functions, derives an estimated value that is an expected value of the measurement value through the final function, and selects a candidate final value that is the closest to the estimated value within a second range, among actual measurement values at a time point corresponding to the estimated value, as a final value.
SYSTEM AND METHOD FOR USE OF QUALITATIVE MODELING FOR SIGNAL ANALYSIS
A system and method for qualitative analysis of time progressive signals, comprising: a qualitative signal analysis module, comprising at least a processor, a memory, and a long term storage device; and an output processor module comprising at least a processor a memory and a network interface has been devised. The qualitative signal analysis module retrieves signal data over time and applies pre-programmed protocols to compare multiple aspects of the signal data to derive meaningful data. The output processor module encodes data generated by the qualitative signal analysis module for use in subsequent analytical steps such as further manipulation, classification or long term storage.
DETECTING PRESENCE OF A MOVING OBJECT WITH AN ULTRASONIC TRANSDUCER
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.
Method of operating electro-acoustic transducers, corresponding circuit and device
A method of operating electro-acoustical transducers such as PMUTs involves applying to the transducer an excitation signal over an excitation interval, acquiring at the transducer a ring-down signal indicative of the ring-down behavior of the transducer after the end of the excitation interval, and calculating, as a function of said ring-down signal, a resonance frequency of the electro-acoustical transducer. A bias voltage of the electro-acoustical transducer can be controlled as a function of the resonance frequency. An acoustical signal received can be transduced into an electrical reception signal and a damping parameter of the electro-acoustical transducer can be calculated as a function of the ring-down signal so that a cross-correlation reference signal can be synthesized as a function of the resonance frequency and the damping ratio of the electro-acoustical transducer. Such a cross-correlation reference signal can be used for cross-correlation with the electrical reception signal to improve the reception quality.
BEAMFORMING SONAR SYSTEM WITH IMPROVED SONAR IMAGE FUNCTIONALITY, AND ASSOCIATED METHODS
A system is provided for imaging an underwater environment. The system includes one or more arrays of transducer elements. Each array is operated at a fixed phase shift and varies in frequency so as to beamform multiple sonar return beams of a first range of angles and a second range of angles. The arrays can be oriented to cover the gap in sonar coverage for other arrays to create a continuous arc of sonar coverage. Accordingly, a 2D live sonar image can be formed. One or more of the multiple sonar return beams facing downwardly can be selected and used to form downward sonar images that anglers are used to, without requiring separate transducer elements. Fish arches formed using multiple sonar return beams can be positioned appropriately within a high resolution downward sonar image to form a desirable combined sonar image.
METHOD FOR IDENTIFYING AT LEAST ONE OBJECT IN A SURROUNDING AREA OF A MOTOR VEHICLE BY MEANS OF AN ULTRASONIC SENSOR, DRIVER ASSISTANCE SYSTEM AND MOTOR VEHICLE
The invention relates to a method for identifying at least one object (9, 10) in a surrounding area (7) of a motor vehicle (1), in which the motor vehicle (1) is moved relative to at least one object (9, 10) and, while the motor vehicle (1) is moved relative to the at least one object (9, 10), a measurement cycle is performed at each of a plurality of successive times, wherein each measurement cycle involves an ultrasonic sensor (4) of the motor vehicle (1) being used to transmit an ultrasonic signal, and a feature (14) being determined that describes a position value, which describes a position of the at least one object (9, 10) and which is ascertained on the basis of a first received echo of the ultrasonic signal, and a presence of a second echo of the ultrasonic signal that is received within a predetermined period of time after the first echo, wherein the respective features (14) are associated with a cluster (13) on the basis of their position value, and the features (14) of the cluster (13) are signalled as belonging to the at least one object (9, 10) on the basis of the presence of the second echo.
Distance detection apparatus and object detection apparatus
A distance detection apparatus includes a wave transmitter configured to transmit a transmission wave, a wave receiver configured to receive the transmission wave which is reflected by an object, a storage portion configured to store a transmission signal, a correlation processing portion configured to obtain a correlation value between the transmission signal and a reception signal corresponding to a reception wave, and a detection portion configured to detect a distance to the obstacle in a case where the correlation value indicates that the transmission signal and the reception signal are similar to each other at a level which is equal to or greater than a predetermined level.
BEAMFORMING SONAR SYSTEM WITH IMPROVED SONAR IMAGE FUNCTIONALITY, AND ASSOCIATED METHODS
A system is provided for imaging an underwater environment. The system includes one or more arrays of transducer elements. Each array is operated at a fixed phase shift and varies in frequency so as to beamform multiple sonar return beams of a first range of angles and a second range of angles. The arrays can be oriented to cover the gap in sonar coverage for other arrays to create a continuous arc of sonar coverage. Accordingly, a 2D live sonar image can be formed. Three arrays are mounted in a housing in an X plus Line configuration with one of the arrays extending below the center of the X.
SYSTEMS AND METHODS FOR INVERTING THE CHIRP Z-TRANSFORM IN O(n log n) TIME AND O(n) MEMORY
Embodiments of the present disclosure describe an efficient O(n log n) method that implements the Inverse Chirp Z-Transform (ICZT). This transform is the inverse of the well-known forward Chirp Z-Transform (CZT), which generalizes the fast Fourier transform (FFT) by allowing the sampling points to fall on a logarithmic spiral contour instead of the unit circle. Thus, the ICZT can be viewed as a generalization of the inverse fast Fourier transform (IFFT).
SYSTEM AND METHOD FOR ULTRASONIC SIGNAL NOISE REMOVAL USING A DEEP NEURAL NETWORK
The present disclosure provides a system and method for removing noise from an ultrasonic signal using a generative adversarial network (GAN). The present disclosure provides three input formats for the neural network (NN) in order to feed one-dimensional (1D) input data to the network. The system is generalizable to multiple noise sources, as it learns from different motion functions and noise types. The end-to-end system of the present disclosure is trained on raw ultrasonic signals with very little pre-processing or feature extraction.