Abstract: A method for capture in a radar system having at least one receive antenna of a vehicle, wherein the following steps are carried out repeatedly: carrying out a capture of a sensor signal in each of the receive antennas of the radar system, wherein the sensor signal captured as a result is specific for a detection of raw targets by the radar system, and carrying out a comparison of the captured sensor signal or the captured sensor signals of different receive antennas for the provision in each case of a phase-adjusted sensor signal, wherein the phase-adjusted sensor signals from different repetitions of the steps are combined to provide a capture result.

Abstract: An apparatus comprising circuitry that implements an artificial neural network training algorithm that uses weight tying.

Abstract: A method comprises performing, by a first coherent radar system on a chip configured to operate in a terahertz range between 0.1 THz and 1 THZ, a first radar scan of a target, the first coherent radar system being in physical contact with a first non-physical scanning device. The first non-physical scanning device then receives first scanning data from the first radar scan, and sends a coordination signal to a second non-physical scanning device. A second coherent radar system on a chip configured to operate in the terahertz range performs a second radar scan of the target, the second coherent radar system being in physical contact with the second non-physical scanning device. The second non-physical device receives second scanning data from the second radar scan, and the first and second scanning data are sent to a processor for a determination as to whether an impermissible object has been detected.

Abstract: Methods, systems, and devices for wireless communications are described. User equipment (UE), such as vehicles, may implement radar transmissions to detect and avoid potential collisions with a target such as other UE or pedestrians. A first UE may receive an indication of a location of a second UE and an indication of one or more parameters associated with radar transmission from the second UE. The first UE may also receive a radio frequency waveform that includes a first component associated with the radar transmissions from the second UE and a second component that is associated with reflected radar transmission from the first UE. The first UE may compensate for an interference from the first component based on the location of the second UE and the one or more parameters. The first UE may generate a radar image from the received radio frequency waveform based on compensating for the interference.

Abstract: There is provided a processor-based method of identifying an airborne object, the method comprising: obtaining a series of target Radar Cross Section (RCS) measurements of an airborne object, with associated aspect angles of the airborne object relative to a measuring radar; calculating at least one estimation of a candidate aircraft RCS time series in accordance with the series of target aspect angles, a candidate aircraft type, and at least one candidate aircraft body orientation; and determining an identification of the airborne object with an aircraft type, in accordance with the estimations of a candidate aircraft RCS time series, and the series of target RCS measurements.

Abstract: A method of operating a radar sensor system includes: frequency down-converting a reception signal that is chirp-modulated with a sequence of chirp ramps to an intermediate frequency signal; and high-pass filtering the intermediate frequency signal to produce a high-pass filtered signal. High-pass filtering includes: first high-pass filtering, with a first corner frequency, the intermediate frequency signal at each chirp in the chirp modulation of the reception signal; and replacing the first high-pass filtering with a second high-pass filtering with a second corner frequency, the first corner frequency being higher than the second corner frequency.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing and storing inputs for use in a neural network. One of the methods includes receiving input data for storage in a memory system comprising a first set of memory blocks, the memory blocks having an associated order; passing the input data to a highest ordered memory block; for each memory block for which there is a lower ordered memory block: applying a filter function to data currently stored by the memory block to generate filtered data and passing the filtered data to a lower ordered memory block; and for each memory block: combining the data currently stored in the memory block with the data passed to the memory block to generate updated data, and storing the updated data in the memory block.

Abstract: A set of methods for discovery of nodes where at least some of the nodes use directional antennas is presented. The methods consist primarily of partitioning the search space into tiers based on elevation angles and adjusting parameters used to construct tiling patterns and slots for discovery messaging, and search methods patterns. The methods further include partitioning into subslots as well as characterization of HAIL slots and rendezvous slots. The HAIL slots and rendezvous slots are allocated within a search schedule and synched across multiple platforms for greater efficiency of communication.

Abstract: A vehicle radar system (3) including a control unit arrangement (8) and at least one radar sensor arrangement (4) arranged to transmit signals (6) and receive reflected signals (7). The vehicle radar system (3) acquires a plurality of measured radar detections (10, 11, 12, 13) at different times. The control unit arrangement (8) engages a tracking algorithm using the present measured radar detections (10, 11, 12, 13) as input such that at least one track is initialized. For each track, the control unit arrangement (8) calculates a calculated previous radar detection (14) that precedes the present measured radar detections (10, 11, 12, 13), and to re-initialize the tracking algorithm using the present measured radar detections (10, 11, 12, 13) in combination with the calculated previous radar detection (14).

Abstract: Disclosed is a method for determining a dimension of a ship, the method being implemented by an electronic system with a radar device having two receiving channels. The method includes: acquiring, for each of the two receiving channels of the radar device, a synthetic aperture radar image imaging the ship in an environment; the sum of the respective amplitudes of the pixels of the two radar images to obtain a sum image; extracting pixels from the sum image imaging the ship to obtain a mask of the ship; determining a range of phase differences between the radar signals received by each of the two receiving channels; and determining a dimension of the ship as a function of the mask of the ship and the determined phase difference range.

Abstract: A system and method characterizes the height of targets in an environment around a vehicle. Signals are transmitted into the environment and return signals are received to determine a track corresponding to a target. For each track, bins are generated, each bin corresponding to a segment of the range, the segments having a gradually increasing size between the minimum range and maximum range. Range and magnitude values of the received return signals are determined for a selected track. A plurality of filled bins are determined, filled bins indicating that a return signal within the selected track has a range value falling within the segment corresponding to said bin. When the number of filled bins exceeds a set threshold, the return signals having range values within the segments corresponding to the filled bins are analyzed to characterize a height of the target.

Abstract: A semiconductor chip comprising at least one transmit channel and/or at least one receive channel for radar signals and also a sequencing circuit is proposed. In this case, the sequencing circuit is configured centrally to determine a sequencing scheme for time-dependent functions of the transmit channel and/or of the receive channel and to drive circuit elements of the transmit channel and/or of the receive channel in accordance with the sequencing scheme.

Abstract: The present invention relates to a method of determining the direction of the wind by a LiDAR sensor (2). This method comprises performing measurements by the LiDAR sensor (2), deducing a Gaussian distribution of the longitudinal (u) and transverse (v) components of the wind speed, and determining wind direction (?) by a spherical cubature approximation method and of the Gaussian distribution of the longitudinal and transverse components of the wind speed.

Abstract: Systems and methods for training and using machine learning models to classify vehicles from highway radar systems are provided. The training systems may use auxiliary radar processing to separate events by lane, length, and/or speed, and then use separate event data groups pooled from similar or proximate lanes, lengths, and/or speeds to train multiple models. At estimation time, incoming events may be grouped using similar groupings as those used during training to select which model to use. An incoming event may be applied to the neural network operations of the selected model to generate an estimate. Generating an estimate may involve successive applications of multiple linear convolutions and other steps along varying or alternating dimensions of the in-process data.

Abstract: A method of identifying a target from synthetic aperture radar (SAR) data without incurring the computational load associated with generating an SAR image. The method includes receiving SAR data collected by a radar system including RF phase history data associated with reflected RF pulses from a target in a scene, but excluding an SAR image. Range profile data is determined from the SAR data by converting the RF phase history data into a structured temporal array that can be applied as input to a classifier incorporating a recurrent neural network, such as a recurrent neural network made up of long short-term memory (LSTM) cells that are configured to recognize temporal or spatial characteristics associated with a target, and provide an identification of a target based on the recognized temporal or spatial characteristic.

Abstract: Disclosed herein are technologies for using computer vision for detection of violence, foreseeable, or imminent violence. The technologies can include a real-time human behavior detection system combined with object classification, which is to be used as an intelligent augmentation of security surveillance systems. The technologies can be used with security cameras, surveillance systems or unmanned aerial vehicles. The technologies can use various types of machine learning to enhance the technologies' violence detection. Also, the technologies can use a synergistic approach of combining different computer vision and machine learning technologies to provide highly accurate results.

Abstract: A sensor includes: a transmission signal generator including N transmission antenna elements that respectively transmit N transmission signals to a predetermined range in which a living body is possibly present, where N is a natural number greater than or equal to 3; a receiver including M reception antenna elements that respectively receive N reception signals including one or more reflected signals, where M is a natural number greater than or equal to 3, the one or more reflected signals being one or more of the N transmission signals transmitted by the N transmission antenna elements that is reflected or scattered by the living body; circuitry; and memory. The circuitry estimates traveling of the living body, and/or the posture and/or action of the living body at the position of the living body.

Abstract: A detection system and method for characterizing targets in an environment around vehicle. Signals are transmitted into the environment and return signals that have reflected off targets are received. The targets are initial characterized based on their return signals and the ego-motion of vehicle as determined from sensors on the vehicle. Corrections are determined based on the position of targets with respect to the azimuth range of the detection system and the side of the target with respect to a boresight. The initial characterizations are then adjusted to obtain a final target characterization.

Abstract: A movable body monitoring apparatus is configured to be mounted on a movable body and to receive movement data related to movements of other movable bodies. The apparatus includes an acquiring unit, a generator, and a monitoring unit. The acquiring unit is configured to acquire the movement data on the other movable bodies. The generator is configured to generate, for low-speed movable bodies that are determined based on an actual speed or a type of the other movable bodies, a monitoring curve that curves along positions of a plurality of low-speed movable bodies. The monitoring unit is configured to monitor movements of the plurality of low-speed movable bodies based on a movement of the generated monitoring curve.

Abstract: An image acquiring apparatus for a vehicle includes a light emitting unit configured to emit pulse light to a predetermined direction, an image acquisition unit configured to acquire a plurality of different images of target distance ranges by imaging reflected light returning from the target distance ranges at imaging timings set according to the target distance ranges, and a timing controller configured to control a light emission cycle of the pulse light and the imaging timings. The timing controller is configured to control the light emission cycle and the imaging timings such that the light emission cycle and the imaging timings are modulated by random numbers.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for detecting aggregation events.

Abstract: A system and method for determining a direction of arrival of an incoming signal is disclosed. The present system utilizes a plurality of pseudo-spectrums to create a more accurate result matrix. The pseudo-spectrums are one or two dimensional arrays, where peaks in the arrays are indicative of the angle of arrival. A result matrix is generated by performing a mathematical operation of corresponding elements in each pseudo-spectrum. This mathematical operation may be addition or multiplication. The result matrix provides a more accurate indication of the angle of arrival than can otherwise by achieved. In some embodiments, a measure of quality may also be calculated for the result matrix.

Abstract: A weak target detection method includes transmitting a plurality of frequency modulated continuous wave signals during rotation of a microwave radar sensor, receiving a plurality of echo signals reflected by a weak target, accumulating the plurality of echo signals in a beam width of the microwave radar sensor to obtain an accumulated echo signal, and determining position information of the weak target according to the accumulated echo signal.

Abstract: A system for scanning an object from the direction of a motor vehicle includes a first radar device for scanning a first item of information of the object that includes a distance, a first object angle, and a first relative velocity; a periodic continuous-wave radar device for scanning a second item of information of the object, which includes a second relative velocity and a second object angle; and a processing device for allocating the first and the second items of information with regard to the same object; and for classifying the object on the basis of a characteristic of the second relative velocity.

Abstract: A radar system for the detection of drones, including a transmitter, a receiver and a processor, wherein the processor is arranged to process demodulated return signals in a first process using a Doppler frequency filter, and to store locations of any detections therefrom, and to process the demodulated signals in a second process to look for signal returns indicative of a preliminary target having a rotational element at a location, and should a detection be found in the second process, to then attempt to match a location of the preliminary target with returns from the first process, and to provide a confirmed detection if a location of a detection from the first process matches with the location of a detection from the second process. The disclosed subject matter enables improved detection rates for drones, by looking for outputs from both the first and second processes.

Abstract: Embodiments of the present application disclose a method, device, system and server for acquiring and providing vehicle image data.

Abstract: Subsurface imaging with information of shape, volume, and dielectric properties is achieved with low frequencies and a ramp waveform. The low frequencies have a lower attenuation compared to the penetration losses of radar frequencies. The technique operates at wavelengths which are comparable to the object or void being imaged, and can be applied to detect and image underground aquifers, magma chambers, man-made tunnels and other underground structures.

Abstract: A method for automatically controlling a following vehicle. A leading vehicle is guided along an actual trajectory, and a desired trajectory is produced for the following vehicle. The actual trajectory of the leading vehicle is captured by the following vehicle, and a trajectory similarity is determined by comparing the captured actual trajectory of the leading vehicle and the produced desired trajectory of the following vehicle. Automatic control of the following vehicle along the desired trajectory is activated if the trajectory similarity exceeds a particular value. Also disclosed is a system for automatically controlling a following vehicle using a leading vehicle.

Abstract: Methods and apparatus for detecting presence of an object in an environment, the method including receiving a Doppler signal during a frame, filtering the Doppler signal in a frequency band, determining a signal energy of the filtered Doppler signal in time domain, determining whether motion of the object is detected in accordance with the Doppler signal and a baseline energy, responsive to a determination that motion of the object is detected in accordance with the signal energy and the baseline energy, setting a flag of object presence, and responsive to a determination that motion of the object is not detected in accordance with the Doppler signal, updating the baseline energy in accordance with the signal energy.

Abstract: An apparatus for resolving velocity ambiguity in a MIMO RADAR includes a plurality of transmit channels and a virtual channel Each transmit channel includes a transmit antenna configured to transmit a plurality of chirps. Each chirp includes a frequency ramp of a transmit frequency of the respective transmit channel. Each transmit channel is orthogonal to another transmit channel and to a virtual transmit channel. A waveform generator is configured to generate a local oscillator (LO) signal for each transmit channel. A frequency offset circuit is configured to modify the LO signal of each transmit channel with a respective frequency offset to generate the respective transmit frequency.

Abstract: A sensor includes circuitry and a memory, wherein the circuitry acquires an N×M first matrix having complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element, from N receive signals received by each of M receive antenna elements for a predetermined period. The circuitry extracts a second matrix, corresponding to a predetermined frequency range from the first matrix, representing components influenced by a vital sign, and estimates a position of the organism with respect to the sensor by using the second matrix. The circuitry also calculates a first distance, indicating a distance between the organism and the transmit antenna, and a second distance, indicating a distance between the organism and the receive antenna. The circuitry further calculates a radar cross-section value with respect to the organism, and estimates a posture of the organism.

Abstract: An object responsive control system for a work machine having a boom, an attachment pivotally coupled to the boom, an object sensor adapted for sensing the presence of an undesirable object located in a travel path of the work machine and delivering an object signal upon sensing the undesirable object. A controller adapted for receiving a boom position signal, an attachment position signal, and calculating an elevational position based on the boom position signal. The system activating an object response upon calculating an attachment elevation position above a predetermined threshold and receiving an object signal.

Abstract: A method of direction of arrival estimation with an automotive spread radar system. The automotive spread radar system includes a plurality of at least two transceiver antenna units, which are configured to work in a MIMO configuration, wherein the transceiver antenna units are arranged at a priori known positions. The automotive spread radar system is configured to determine, for each transceiver unit antenna unit of the plurality of transceiver antenna units, a range of a target reflecting radar waves that have been transmitted by at least the specific transceiver antenna unit by reading out a plurality of range gates assigned to a specific transceiver antenna unit. The method and radar system are capable of estimating a direction of arrival without the need of ensuring a synchronization of antennas on the scale of a radar carrier frequency.

Abstract: A radar sensor for a vehicle includes a control unit and an antenna array. The radar sensor is configured to perform a three-dimensional scan to determine a vertical and a horizontal position of an object in order to assist with distinguishing the geometrical nature of the object.

Abstract: Techniques are disclosed for detection and ranging systems and methods to improve range resolution, target separation, and reliability. A method includes selectively attenuating a signal representing a ranging system return or echo from targets so as to suppress side lobes or other undesirable artifacts appearing in the signal due to noise, interference, and/or distortion. A method may additionally or alternatively include rejecting interference events in ranging system returns by comparing a received return with that expected from a target illuminated by the ranging system, as determined by characteristics of its particular ranging sensor, and rejecting or attenuating returns or portions of returns that fail to match those characteristics in time or space.

Abstract: A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.

Abstract: A method comprises at least: a first radar processing for locating and estimating the trajectory of a target on the basis of measurements of radial distances, of Doppler frequency and of angle of azimuth and of elevation of the target arising from a radar signal emitted towards the target; a second radar processing of location and of trajectory of the target along a vertical axis, by applying the principle of the inverse synthetic antenna; the disparity between the given trajectory and the trajectory estimated by the first processing, projected on a horizontal plane, and the disparity between the given trajectory and the trajectory estimated by the second processing according to the vertical axis being used to control the direction of displacement of the target.

Abstract: In accordance with an embodiment, a method of operating a radar system includes receiving radar configuration data from a host, and receiving a start command from the host after receiving the radar configuration data. The radar configuration data includes chirp parameters and frame sequence settings. After receiving the start command, configuring a frequency generation circuit is configured with the chirp parameters and radar frames are triggered at a preselected rate.

Abstract: Ship motion forecasting systems and methods are described herein that can enable accurate real-time forecasting of ocean waves and resultant ship motions. Such systems and methods can be used to improve the efficiency and safety of a variety of ship operations, including the moving of cargo between ships at sea. In general, the systems and methods transmit radar signals from multiple radars, and those radar signals from the multiple radars are reflected off the surface of a body of water. The reflected radar signals are received, and radar data is generated from the received radar signals. The radar data is used to generate ocean wave components, which represent the amplitude and phase of a multitude of individual waves that together can describe the surface of the ocean. These ocean wave components are then used generate ship motion forecasts, which can then be presented to one or more users.

Abstract: A device differentiates a living body, the device including a circuit. The circuit acquires first N reception signals, each of the first N reception signals has been received at respective one receiver out of N receivers, which are arranged to surround a periphery of a predetermined range, using respective reception antenna elements of the N receivers during a predetermined period. The circuit also calculates a plurality of correlation coefficients based on a teacher signal, stored in the memory, and the first N reception signals. The circuit further determines that the living body and a subject living body are identical to each other when a correlation coefficient, included in the plurality of correlation coefficients, is included in a predetermined value range.

Abstract: The invention relates to a radar system for use in driver assistance systems in motor vehicles. According to the invention, the radar system has optimized storage of temporary data when using periodic linear frequency modulation and a multidimensional discrete Fourier transform.

Abstract: An automated vehicle radar system capable of self-calibration includes an antenna, a transceiver, and a controller. The antenna broadcasts a radar-signal and detects a reflected-signal reflected by an object. The transceiver determines a distance, an angle, and a range-rate of the object relative to the antenna based on the radar-signal and the reflected-signal. The controller determines a speed of a host-vehicle; determines when the object is stationary based on the speed, the angle, and the range-rate; stores in a memory a plurality of detections that correspond to multiple instances of the distance, the angle, and the range-rate as the host-vehicle travels by the object; selects an ideal-response of angle versus range-rate based on the speed; determines a calibration-matrix of the system based on a difference between the plurality of detections and the ideal-response; and adjusts an indicated-angle to a subsequent-object in accordance with the calibration-matrix.

Abstract: A device that differentiates a living body includes at least one transmission antenna element that transmits a transmission signal to a predetermined range including the living body, N receivers that are arranged to surround a periphery of the predetermined range and each receive N reception signals using respective reception antenna elements of the receivers during a predetermined period, the N reception signals including a reflection signal resulting from the transmission signal reflected off the living body, memory that stores a teacher signal, a circuit that calculates a plurality of correlation coefficients according to the teacher signal and the N reception signals received by the N receivers and determines that the living body and the subject living body are identical to each other when a predetermined correlation coefficient included in the plurality of correlation coefficients is included in a predetermined value range.

Abstract: Exemplary embodiments relate to uses of face detection in video, and especially in video calls. In some embodiments, face detection may be used to center a camera shot by maintaining a face in the center of a screen. The centering may be applied selectively, such as by overriding centering if the user is looking off-screen. The video may also be cropped to better fit a face in a screen, or to allow multiple faces to appear on screen. In some embodiments, emphasizing the face over the background (or parts of the face over the whole face) allows for improvement in video call performance. Moreover, these techniques can be used to bring certain areas of a camera shot into focus while de-emphasizing the background (or vice versa).

Abstract: An object detection device includes a sub-cluster generating circuitry which, in operation, divides a cluster generated by a cluster generator into one or more first sub-clusters each corresponding to a part of an object having a different traveling direction or traveling speed from a main part of the object and a second sub-cluster corresponding to the main part of the object; and a speed calculating circuitry which, in operation, uses one or more capture points belonging to the second sub-cluster and calculates a traveling speed of the object.

Abstract: A method and sensor system are disclosed for automatically determining object sensor position and alignment on a host vehicle. A radar sensor detects objects surrounding the host vehicle in normal operation. Static objects are identified as those objects with ground speed approximately equal to zero. Vehicle dynamics sensors provide vehicle longitudinal and lateral velocity and yaw rate data. Measurement data for the static objects—including azimuth angle, range and range rate relative to the sensor—along with the vehicle dynamics data, are used in a recursive geometric calculation which converges on actual values of the radar sensor's two-dimensional position and azimuth alignment angle on the host vehicle.

Abstract: Systems and approaches provide for user interfaces that are based on object tracking. For example, the object may be a user's head or face. As the user moves his head or face and/or tilts a computing device, the content displayed on the computing device will adapt to the user's perspective. The content may include three-dimensional (3D) graphical elements projected onto a two-dimensional (2D) plane and/or the graphical elements can be associated with textural shading, shadowing or reflections that change according to user or device motion to give the user the impression that the user is interacting with the graphical elements in 3D environment. A state of motion of the device can be determined and jitter and/or latency corresponding to the rendering of content can be altered so as to minimize or decrease jitter when the device is stationary and/or to decrease or minimize latency when the device is in motion.

Abstract: Methods and apparatuses for identifying a track for a target are disclosed herein. In a general embodiment, trees for targets are identified. Each tree in the trees includes observations that are connected to each other by branches and each observation has a score. A selected track in a tree is identified within the trees with an observation having a highest score. A group of branches is added to the selected track from other trees other than the tree having the selected track to form the track for a target, enabling reducing processing resources used to identify the track.

Abstract: A method includes receiving image data at a first tracking system. The image data may represent a region in an image of a sequence of images. The method includes generating a first tracking fingerprint based on the image data. The method includes comparing the first tracking fingerprint and a second tracking fingerprint. The method further includes providing an output from the first tracking system to a second tracking system based on a result of the comparison of the first tracking fingerprint and the second tracking fingerprint.

Abstract: A method for identifying an object in a piece of image information representing a scene in a detection range of a camera during a situation includes: a step of reading in; a step of selecting; and a step of searching. In the step of reading in, the piece of image information and at least one parameter representing the situation are read in. In the step of selecting, a feature combination of an object class of the object, which is predictably identifiable in the situation, is selected using the parameter. In the step of searching, the feature combination is searched for in the piece of image information to identify the object.