Patent classifications
G01S15/876
Three-Dimensional Location Estimation Using Multiplicative Processing of Sensor Measurements
System, computer products, and methods can improve the resolution of data from a sensor array. One of these methods include receiving, from an analog to digital converter, a series of measurements representing frequency samples and spatial samples from a sensor array. The method includes generating a plurality of factors based on a polynomial. The method includes applying one or more complex weights to the measurements based on the factors. The method includes combining the complex weighted measurements into a plurality of values. The method also includes identifying a characteristic of an object detected by the sensor array based on the plurality of values.
METHODS AND APPARATUS TO ADJUST TIME DIFFERENCE OF ARRIVAL DISTANCE VALUES USED FOR SOURCE LOCALIZATION
Methods, apparatus, systems, and articles of manufacture to determine a location of an audio source are disclosed. Disclosed example apparatus are to determine respective error values for corresponding ones of a first dataset of time difference of arrival (TDOA) distance values between pairs of acoustic sensors, the error values based on a cost function, a first set of constraints and a second set of constraints. Disclosed example apparatus are also to adjust the corresponding ones of the first dataset of TDOA distance values based on the respective error values to determine a second dataset of TDOA distance values. Disclosed example apparatus are further to output the second dataset of TDOA distance values to source location circuitry that is to determine the location of the audio source.
Systems and methods for determining distance in a sonar image
A system for determining distance corresponding to positions within a sonar image is provided. The system includes transducer elements configured to transmit sonar signals into a body of water and receive corresponding sonar returns. The system further includes a device with a processor and a memory including computer program code that is configured to cause the device to receive sonar returns, generate sonar images based on the sonar returns, receive a user input selection indicating a first and second sonar position in the sonar images, determine a first chart location that corresponds to the first sonar position, determine a second chart location that corresponds to the second sonar position, determine a distance between the first and second chart location and cause the distance to be displayed on a user interface. Systems are also included herein for presenting sonar beam indicators on charts for noting the direction of the sonar beam.
Wearable device control
A method and system for improving wearable device function control is provided. The method includes detecting a first gesture executed by a user. A speed and direction of the first gesture; an eye focus of the user, and a time period associated with eye focus being directed towards a display portion of a wearable device are detected. The first gesture is analyzed with respect to previously determined mapping data, the speed and direction of the first gesture, the eye focus of the user, and the time period. In response, a specified function of the wearable device associated with the first gesture is determined and executed.
Personal sonar system
Various implementations include a personal sonar system sized to be worn on a body of a user. In some cases, the system includes: at least one acoustic transmitter for transmitting ultrasonic signals into an environment proximate the user; at least two acoustic receivers for receiving return ultrasonic signals from the environment proximate the user; a directional indication system for providing a directional output to the user; and a controller coupled with the at least one transmitter, the at least two acoustic receivers, and the directional indication system, the controller configured to: identify a physical object within the environment proximate the user based on the return ultrasonic signals; and initiate the directional output at the directional indication system based on the identified physical object within the environment.
Self-organizing node and a sensor network with self-organizing nodes
A node transmits/receives signals over first and second communication channels having non-equal propagation speeds. When node identifies reset signal received over first communication channel, it adjusts internal clock, transmits acknowledgement signal and initiates acknowledgement process. When reset signal not identified, node transmits reset signal over first communication channel and receives response signal from one node. If response signal is acknowledgement signal, acknowledgement process is initiated. If response signal is non-acknowledgement signal, internal clock is adjusted and acknowledgement process is initiated. In acknowledgement process, node determines distance to other nodes by measuring travelling time for signal over second communication channel exchanges distance information with other nodes, and fine tunes internal clock of each node when transmitting over first communication channel. Node's transceiver circuitry has radio frequency part to transmit/receive electromagnetic signals and acoustic part to transmit/receive acoustic signals. Each node determines distance in acknowledgement process.
TRANSMITTING ULTRASONIC SIGNAL DATA
A method for transmitting data from an ultrasonic sensor to a computer system includes forming a feature vector signal from an electric reception signal; recognizing signal objects in the reception signal and classifying the signal objects according to predetermined signal object classes. The signal objects are forms or sequences of forms. At least one object parameter allocated to the signal object and one symbol for the signal object class are allocated to each signal object, or for each signal object, at least one signal object parameter and a symbol object are determined. The method further includes transmitting the symbol and the at least one signal object parameter to the computer system as data of a recognized signal object. One of the forms in the signal object belonging to the signal object class includes a peak, and one of the transmitted signal object parameters is an amplitude of the peak.
ACOUSTIC SYSTEM AND METHOD BASED GESTURE DETECTION USING SPIKING NEURAL NETWORKS
Conventional gesture detection approaches demand large memory and computation power to run efficiently, thus limiting their use in power and memory constrained edge devices. Present application/disclosure provides a Spiking Neural Network based system which is a robust low power edge compatible ultrasound-based gesture detection system. The system uses a plurality of speakers and microphones that mimics a Multi Input Multi Output (MIMO) setup thus providing requisite diversity to effectively address fading. The system also makes use of distinctive Channel Impulse Response (CIR) estimated by imposing sparsity prior for robust gesture detection. A multi-layer Convolutional Neural Network (CNN) has been trained on these distinctive CIR images and the trained CNN model is converted into an equivalent Spiking Neural Network (SNN) via an ANN (Artificial Neural Network)-to-SNN conversion mechanism. The SNN is further configured to detect/classify gestures performed by user(s).
BLIND-SPOT WARNING
The invention relates to a sensor arrangement (12), in particular for use for a driving assistance system of a vehicle (10), having a plurality of ultrasonic sensors (14) which are arranged along at least a front (20) and/or a rear (22) of the vehicle (10), wherein the ultrasonic sensors (14) are divided into a group (26) of right-hand ultrasonic sensors (14) and a group (24) of left-hand ultrasonic sensors (14), and the sensor arrangement (12) has asymmetric operation in which the ultrasonic sensors (14) in one group (24, 26) of ultrasonic sensors (14) at least partially have a lower receiving sensitivity than corresponding ultrasonic sensors (14) in the other group (26, 24) of ultrasonic sensors (14). The invention also relates to a method for operating such a sensor arrangement (12).
Reconfigurable MIMO radar
Automotive radar systems may employ a reconfigurable connection of antennas to radar transmitters and/or receivers. An illustrative embodiment of an automotive radar system includes: a radar transmitter; a radar receiver; and a digital signal processor coupled to the radar receiver to detect reflections of a signal transmitted by the radar transmitter and to derive signal measurements therefrom. At least one of the radar transmitter and the radar receiver are switchable to provide the digital signal processor with signals from each of multiple combinations of transmit antenna and receive antenna.