Abstract: Methods and systems for estimating a distance to an object are described. In an example, a device can receive a reflected signal of a modulated signal being used in a wireless transmission of data. The reflected signal can be a reflection of the modulated signal from at least one object. The device can estimate a distance to the at least one object based on the modulated signal and the reflected signal. Further, the device can use the estimated distance to image a scenery including the at least one object.

Abstract: A method of automatic image rejection and monitoring of a frequency modulated continuous-wave (FMCW) radar system, includes generating a quadrature FMCW signal comprising an in-phase signal and a quadrature signal by a dual output FMCW signal generator. The in-phase signal and the quadrature signal are transmitted. A radar signal comprising a response in-phase and a quadrature signal is received in response to the transmitted in-phase signal and the quadrature signal. The response in-phase signal and quadrature signals are provided to an analog to digital converter (ADC). An in-phase beat signal (Beat-I) and a quadrature beat signal (Beat-Q) are extracted from the ADC, based on a received windowing signal. A relative phase and/or amplitude adjustment is generated by providing a phase calibration variable (?t) and/or an amplitude calibration variable (At) as input to the dual output FMCW signal generator, based on a correlation between the Beat-I and the Beat-Q.

Abstract: Motion-related 3D feature extraction by receiving a set of sequential radar signal data frames associated with a subject, determining radar signal amplitude and phase for each data frame, determining radar signal phase changes between sequential data frames, and extracting, by a trained machine learning model, one or more three-dimensional features from the sequential radar signal data frames according to the radar signal amplitude and the radar signal phase changes between sequential data frames.

Abstract: A method includes generating a first modulated continuous wave from a generating location; transmitting the first modulated continuous wave to an object positioned at a distance from the generating location; generating a second modulated continuous wave from the generating location, wherein the second modulated continuous wave is generated at a predetermined time that is different from a predetermined time at which the first modulated continuous wave is generated; receiving, at a mixer, the first modulated continuous wave from the object; receiving, at the mixer, the second modulated continuous wave from the generating location; mixing the received first modulated continuous wave with the second modulated continuous wave to produce a beat signal to determine a range of the object from the generating location; and outputting the determined range of the object from the generating location.

Abstract: A radar-based security screening system for detecting objects is described. The screening system includes a radar transmitter, a radar receiver, and a processing unit. In use, the radar transmitter steers a radar beam across a screening volume. The radar receiver, in turn, receives a return signal from an object over time as the object moves in the screening volume to create a three-dimensional temporal signature for the object. The processing unit classifies the three-dimensional temporal signature utilizing a classification process based on a deep neural network model, and provides an alert when the object is classified as an object of interest. During screening, a screened person is not required to remain still in a confined volume and is not exposed to harmful radiation.

Abstract: A method of automatic image rejection and monitoring of a frequency modulated continuous-wave (FMCW) radar system, includes generating a quadrature FMCW signal comprising an in-phase signal and a quadrature signal by a dual output FMCW signal generator. The in-phase signal and the quadrature signal are transmitted. A radar signal comprising a response in-phase and a quadrature signal is received in response to the transmitted in-phase signal and the quadrature signal. The response in-phase signal and quadrature signals are provided to an analog to digital converter (ADC). An in-phase beat signal (Beat-I) and a quadrature beat signal (Beat-Q) are extracted from the ADC, based on a received windowing signal. A relative phase and/or amplitude adjustment is generated by providing a phase calibration variable (?t) and/or an amplitude calibration variable (At) as input to the dual output FMCW signal generator, based on a correlation between the Beat-I and the Beat-Q.

Abstract: Methods and system for shaping radiation patterns are described. Given a plurality of radiation patterns corresponding to spatial combinations of a plurality of signals, a system can perform beam switching between the given plurality of radiation patterns within a configured time. The beam switching within the configured time can create a beam having a new radiation pattern within the signal modulation bandwidth.

Abstract: While a radar waveform generator coupled to a phased antenna array is inactive, a beam steering command is provided to the phased antenna array to cause the phased antenna array be configured for a given transmit and receive direction. While the radar waveform generator is active, received radar results are assigned to the given transmit and receive direction. the providing of the command and the assigning are repeated for a plurality of additional transmit and receive directions corresponding to a desired scan area.

Abstract: An imaging system is provided. A first imaging system captures initial sensor data in a form of visible domain data. A second imaging system captures subsequent sensor data in a form of second domain data, wherein the initial and subsequent sensor data are of different spectral domains. A controller subsystem detects at least one region of interest in real-time by applying a machine learning technique to the visible domain data, localizes at least one object of interest in the at least one region of interest to generate positional data for the at least one object of interest, and autonomously steers a point of focus of the second imaging system to a region of a scene including the object of interest to capture the second domain data responsive to the positional data.

Abstract: Motion-related 3D feature extraction by receiving a set of sequential radar signal data frames associated with a subject, determining radar signal amplitude and phase for each data frame, determining radar signal phase changes between sequential data frames, and extracting, by a trained machine learning model, one or more three-dimensional features from the sequential radar signal data frames according to the radar signal amplitude and the radar signal phase changes between sequential data frames.

Abstract: Methods and systems for estimating a distance to an object are described. In an example, a device can receive a reflected signal of a modulated signal being used in a wireless transmission of data. The reflected signal can be a reflection of the modulated signal from at least one object. The device can estimate a distance to the at least one object based on the modulated signal and the reflected signal. Further, the device can use the estimated distance to image a scenery including the at least one object.

Abstract: Methods and system for shaping radiation patterns are described. Given a plurality of radiation patterns corresponding to spatial combinations of a plurality of signals, a system can perform beam switching between the given plurality of radiation patterns within a configured time. The beam switching within the configured time can create a beam having a new radiation pattern within the signal modulation bandwidth.

Abstract: A method includes generating a first modulated continuous wave from a generating location; transmitting the first modulated continuous wave to an object positioned at a distance from the generating location; generating a second modulated continuous wave from the generating location, wherein the second modulated continuous wave is generated at a predetermined time that is different from a predetermined time at which the first modulated continuous wave is generated; receiving, at a mixer, the first modulated continuous wave from the object; receiving, at the mixer, the second modulated continuous wave from the generating location; mixing the received first modulated continuous wave with the second modulated continuous wave to produce a beat signal to determine a range of the object from the generating location; and outputting the determined range of the object from the generating location.

Abstract: A radar-based security screening system for detecting objects is described. The screening system includes a radar transmitter, a radar receiver, and a processing unit. In use, the radar transmitter steers a radar beam across a screening volume. The radar receiver, in turn, receives a return signal from an object over time as the object moves in the screening volume to create a three-dimensional temporal signature for the object. The processing unit classifies the three-dimensional temporal signature utilizing a classification process based on a deep neural network model, and provides an alert when the object is classified as an object of interest. During screening, a screened person is not required to remain still in a confined volume and is not exposed to harmful radiation.

Abstract: While a radar waveform generator coupled to a phased antenna array is inactive, a beam steering command is provided to the phased antenna array to cause the phased antenna array be configured for a given transmit and receive direction. While the radar waveform generator is active, received radar results are assigned to the given transmit and receive direction. the providing of the command and the assigning are repeated for a plurality of additional transmit and receive directions corresponding to a desired scan area.

Abstract: A method for a Human-Computer-Interaction (HCI) processing includes receiving data derived from reflected signals of a steerable-beam antenna and processing the received data in a deep learning machine architecture.

Abstract: A method for a Human-Computer-Interaction (HCI) processing includes receiving data derived from reflected signals of a steerable-beam antenna and processing the received data in a deep learning machine architecture.

Abstract: There is provided a method of computing a camera pose of a digital image, comprising: computing query-regions of a digital image, each query-region maps to training image region(s) of training image(s) by a 2D translation and/or a 2D scaling, each training image associated with a reference camera pose, each query-region associated with a center point and a computed weighted mask that weights the query-region pixels according to computed correlations with the corresponding training image region, mapping cloud points corresponding to pixels of matched training image region(s) to corresponding images pixels of the matched query-regions according to a statistically significant correlation requirement between the center point of the query-region and the matched training image region, and according to the computed weight mask, and computing the camera pose according to an aggregation of the camera poses, and the mapped cloud points and corresponding image pixels of the matched query-regions.

Abstract: There is provided a method of identifying objects in an image, comprising: extracting query descriptors from the image, comparing each query descriptor with training descriptors for identifying matching training descriptors, each training descriptor is associated with a reference object identifier and with relative location data (distance and direction from a center point of a reference object indicated by the reference object identifier), computing object-regions of the digital image by clustering the query descriptors having common center points defined by the matching training descriptors, each object-region approximately bounding one target object and associated with a center point and a scale relative to a reference object size, wherein the object-regions are computed independently of the identifier of the reference object associated with the object-regions, wherein members of each cluster point toward a common center point, and classifying the target object of each object-region according to the referen

Abstract: A system for identifying specific instances of objects in a three-dimensional (3D) scene, comprising: a camera for capturing an image of multiple objects at a site; at least one processor executable to: use a location and orientation of the camera to create a 3D model of the site including multiple instances of objects expected to be in proximity to the camera, and generate multiple candidate clusters each representing a different projection of the 3D model, detect at least two objects in the image, and determine a spatial configuration for each detected object; and match the detected image objects to one of the multiple candidate cluster using the spatial configurations, associate the detected objects with the expected object instances of the matched cluster, and retrieve information of one of the detected objects that is stored with the associated expected object instance; and a head-wearable display configured to display the information.