Gm Global Technology Operations LLC

Silantrix Ltd.

Igal Bilik

Shahar Villeval

Oren Longman

Oded Bialer

Alexander Pokrass

Inna Stainvas Olshansky

Moshe Laifenfeld

Hasan Sharifi

Eli Tzirkel-Hancock

Ishai Eljarat

Shuqing Zeng

Gaston Solodky

Gonen Barkan

Ran Yehoshua Gazit

Dani Raphaeli

Tzvi Philipp

Dan Levi

Ara K Kurdoghlian

Robert G Nagele

Yaron Eshet

Shmuel Nedjar

Mehran Mokhtari

Alexandros Margomenos

Michael Slutsky

Emilio A Sovero

Jongchan Kang

Shachar Shayovitz

Adi Panzer

Ilya Shapir Poltorak

Moshe Levy-Israel

Daniel Kuzmenko

Hyok Jae Song

Scott M Reilly

Ariel Lipson

Florian G Herrault

Claudia V Goldman-Shenhar

Avshalom Suissa

Keerti S Kona

Jeremy A Salinger

Yael Shmueli Friedland

Stephen W Decker

Hanseung Lee

Melanie Sachiko Yajima

Jeremy P Gray

Yasen Hu

Hsuanyu Pan

Emanuel Mordechai

Guy Raz

Yonattan Menaker

Joseph Tabrikian

Lior Kissos

Michael Dikshtein

Evgeny Tsalolikhin

Pan Hsuanyu

Jongchang Kang

A system and method of classifying an object. The system includes a polarizing beam splitter, a first detector, a second detector and a processor. The polarizing beam splitter generates a first source signal having a first polarization direction and a second source signal having a second polarization. The first detector transmits the first source signal at the object and receives a first reflected signal generated at the object in response to the first source signal. The second detector transmits the second source signal at the object and receives a second reflected signal generated at the object in response to the second source signal. The processor is configured to compare the first reflected signal to the second reflected signal to classify the object.

Polarization diversity detection in FMCW Lidar

A method includes obtaining an initial point cloud for each of two or more radar systems that share a common field of view. Each initial point cloud results from processing reflected energy at each of the two or more radar systems. Each point of the initial point cloud indicates one or more hypotheses for a range, a Doppler, and a direction of arrival (DOA) to an object that resulted in the reflected energy. A point cloud, obtained from the initial point cloud, has a same number of hypotheses for the range, the Doppler, and the DOA. Resolving ambiguity in the common field of view is based on the point clouds to obtain resolved and unresolved points in the common field of view. A radar image obtained from each of the two or more radar systems is used to control an aspect of operation of a vehicle.

Ambiguity mitigation based on common field of view of radar systems

An antenna system operates in a hybrid coplanar waveguide and rectangular waveguide mode. A slot array with a conductive layer is disposed on a substrate and defines a coplanar waveguide joining a number of side slots arranged in a line forming the slot array. Another substrate is spaced apart from the substrate and a ground plane is defined thereon. A defined volume waveguide is disposed between the substrates. The array is configured to radiate a radiation pattern in a hybrid mode that results from a combination of the slot array and the defined volume waveguide. The side slots may be elliptical in shape for side lobe level reduction.

Low side lobe level integrated cavity backed slot array antenna system

Systems and methods to perform sensor fusion with a depth imager and a radar system involve transmitting radio frequency (RF) energy from the radar system to a region and simultaneously emitting light to the region using a light source, Reflected light is received at a depth imager aligned with the light source, and RF reflections are received at the radar system. The reflected light is processed to obtain azimuth, elevation, range, variance in range, and reflectivity to each pixel that makes up the region. Processing the RF reflections provides azimuth, elevation, range, variance in range, velocity, and variance in velocity to a subset of the pixels representing a region of interest. Performing the sensor fusion includes using the azimuth, the elevation, the variance in range, and the reflectivity resulting from the depth imager and the range, the velocity, and the variance in velocity resulting from the radar system.

Fusion of depth imager and radar system in a vehicle

A radar system includes antenna elements and receive channels. An adaptive switch couples the receive channels to a subset of the antenna elements as selected antenna elements. The selected antenna elements receive reflected signals from reflection by objects and each of the receive channels outputs the digital signal based on the reflected signal from the coupled selected antenna element. A controller processes the digital signal from each receive channel to estimate a direction of arrival (DOA) to each object and generate candidate configurations of the switch. Assessing the candidate configurations includes performing a multi-step assessment using a decision tree with each candidate configuration as a root and examining accuracy of an output at a last step in the decision tree to select a selected candidate configuration based on the accuracy. The switch is configured according to the selected candidate configuration prior to receiving the reflected signals for a next iteration.

Antenna selection in a radar system based on multiple detected objects and multi-step planning

A method for using Synthetic Aperture Radar (SAR) to perform a maneuver in a land vehicle is provided. The method includes: receiving digitized radar return data from a radar transmission from a SAR onboard the vehicle; accumulating a plurality of frames of the digitized radar return data; applying a RADON transform to the accumulated plurality of frames of the digitized radar return data and odometry data from the vehicle to generate transformed frames of data for each three-dimensional point, wherein the RADON transform is configured to perform coherent integration for each three-dimensional point, project a radar trajectory onto each three-dimensional point, and project Doppler information onto each three-dimensional point; generating a two-dimensional map of an area covered by the radar transmission from the SAR based on the transformed frames of data for each three-dimensional point; and performing a maneuver with the land vehicle by applying the generated two-dimensional map.

Automotive synthetic aperture radar with radon transform

Systems and methods involve detecting objects using a radar system of a vehicle. Tracks of the objects are initiated in a track database. The tracks store data, respectively, for the objects and are updated based on additional detections of the objects. The tracks of the objects are initially unclassified tracks. Two tracks corresponding to two of the objects are selected as a candidate pair. Criteria are applied to the candidate pair to determine whether one track is of a ghost object and another track is of a true object corresponding with the ghost object. The ghost object represents detection of the true object in an incorrect location. The candidate pair is classified as tracks of a true object and ghost object pair based on determining that the one track is of the ghost object and the other track is of the true object corresponding with the ghost object.

Multipath ghost mitigation in vehicle radar system

Methods and systems for estimating vehicle velocity based on radar data. The methods and systems include receiving a set of range-Doppler-beam, RDB, maps from radars located on a vehicle and performing an optimization process that adjusts an estimate of vehicle velocity so as to optimize a correlation score. The optimization process includes iteratively: spatially registering the set of RDB maps based on the current estimate of vehicle velocity, determining the correlation score based on the spatially registered set of RDB maps, and outputting an optimized estimate of vehicle velocity from the optimization process when the correlation score has been optimized. The methods and systems control the vehicle based at least in part on the optimized estimate of vehicle velocity.

Estimating vehicle velocity using radar data

A scanning and perception system for a vehicle camera having an instantaneous field of view (iFOV) and configured to capture an image of an object at a saturation level in the camera's iFOV. The system also includes a light source configured to illuminate the camera's iFOV. The system additionally includes a radar configured to determine the object's velocity and the object's distance from the vehicle, and a mechanism configured to steer the radar and/or the camera. The system also includes an electronic controller programmed to regulate the mechanism and adjust illumination intensity of the light source in response to the saturation level in the image or the determined distance to the object. The controller is also programmed to merge data indicative of the captured image and data indicative of the determined position of the object and classify the object and identify the object's position in response to the merged data.

Steerable scanning and perception system with active illumination

An example method for performing a joint radon transform association includes detecting, by a processing device, a target object to track relative to a vehicle. The method further includes performing, by the processing device, the joint radon transform association on the target object to generate association candidates. The method further includes tracking, by the processing device, the target object relative to the vehicle using the association candidates. The method further includes controlling, by the processing device, the vehicle based at least in part on tracking the target object.

Joint radon transform association

Methods and systems involve generating a family of codewords. Each codeword of the family of codewords including three segments with one of the three segments being a hyperbolic frequency modulation (HFM) segment and two of the three segments being linear frequency modulation (LFM) segments. A method includes transmitting each codeword of the family of codewords using a different transmit antenna element.

Piecewise hyperbolic waveform for code division multiple access radar system operation

Embodiments include methods, systems and computer readable storage medium for a method for determining a fine direction of arrival (DOA) for a target is disclosed. The method includes receiving, by a plurality of receivers of a radar system, radar signals reflected by a target. The method further includes mitigating, by the radar system, phase shifts in the radar signals caused by a motion of the target. The method further includes determining, by the radar system, the fine DOA in response to the mitigation of phase shifts and based on the radar signals. The method further includes estimating and storing, by the radar system, a Doppler frequency based on the fine DOA.

Doppler ambiguity resolution in MIMO radars using a SIMO evaluation

Embodiments include methods, systems and computer readable storage medium for a method for resolving an angle of arrival (AOA) in an antennae array is disclosed. The method includes receiving, from an antenna array of a radar system, antennae data. The method further includes receiving, by the radar system, an iteration counter value. The method further includes calculating, by the radar system, an elevation estimation and an azimuth estimation based on the antennae data and iteration counter value. The method further includes generating, by the radar system, a plurality of hypotheses based on the elevation estimation and azimuth estimation. The method further includes selecting, by the radar system, a hypothesis from the plurality of hypotheses. The method further includes storing, by the radar system, the selected hypothesis.

2D angle of arrival estimation for staggered antennae arrays

A radar system may include a transmitter, a receiver, and a controller. The controller may calculate a received beam response spectrum based on the received reflected radar signal, detect a first maximum value of the received beam response spectrum, identify an angle corresponding to the first maximum value as a first target angle, obtain a threshold envelope based on the first maximum value and the first target angle, detect a second maximum value in a portion of the received beam response spectrum being greater than the threshold envelope, identify an angle corresponding to the second maximum value as a second target angle, and output the first target angle as the angle of arrival of the reflected radar signal from the first target and the second target angle as the angle of arrival of the reflected radar signal from the second target.

Radar system and method for identifying multiple targets in a beam response spectrum

The present application relates to a method and apparatus for implementing a radar array including a gate bias source for providing a first variable voltage, a back gate well control for providing a second variable voltage, and a field effect transistor having a drain, a source, a gate and a back gate well control, the field effect transistor being further configured to couple an alternating current radar signal between the drain and the source and to adjust a phase of the alternating current radar in response to first variable voltage applied to the gate and the second variable voltage applied to the back gate well control.

Field effect transistor (FET) configured to phase shift a radar signal using first and second variable voltages applied to a gate and a back gate of the FET

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Rehovot, Israel

Igal Bilik