Patents Examined by Nazra Nur Waheed
  • Patent number: 11982752
    Abstract: Proposed is a GPS error correction method performed through comparison of three-dimensional HD-maps in a duplicate area, and more particularly, a method that can calculate a correction value for a GPS error by comparing three-dimensional HD-maps of a corresponding duplicate area when the duplicate area is generated on a GPS route in the process of acquiring raw data to be used in a HD-map for autonomous driving. Particularly, in the method, an accurate correction value for the GPS error can be calculated by comparing three-dimensional point cloud data acquired by utilizing basically installed LiDAR, an Inertial Measurement Unit (IMU) and the like, without using expensive equipment such as a plurality of high-precision GPS receivers, stereo cameras or the like.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: May 14, 2024
    Assignee: MOBILTECH
    Inventors: Jae Seung Kim, Dong Hyun Suh
  • Patent number: 11971474
    Abstract: Various embodiments of the present technology generally relate to detecting and manipulating radar image data. More specifically, some embodiments relate to systems, methods, and computer-readable storage media for detecting, processing, viewing, and manipulating radar images in an image viewer application. Radar image data captured by a radar imaging system, such as a synthetic aperture radar (SAR) or other satellite-based equipment, comprises data unreadable by image viewers. In an implementation, an open-source plug-in for an image viewer application obtains SAR data, performs one or more algorithms on the SAR data to detect an image, and provides the detected image to an image viewer for display on a graphical user interface. Further, requests for manipulation of the detected image made by the image viewer application may be performed by the plug-in and exported in complex data formats for use downstream.
    Type: Grant
    Filed: December 20, 2021
    Date of Patent: April 30, 2024
    Inventor: Clyde Stanfield
  • Patent number: 11966673
    Abstract: In various examples, a sensor model may be learned to predict virtual sensor data for a given scene configuration. For example, a sensor model may include a deep neural network that supports generative learning—such as a generative adversarial network (GAN). The sensor model may accept an encoded representation of a scene configuration as an input using any number of data structures and/or channels (e.g., concatenated vectors, matrices, tensors, images, etc.), and may output virtual sensor data. Real-world data and/or virtual data may be collected and used to derive training data, which may be used to train the sensor model to predict virtual sensor data for a given scene configuration. As such, one or more sensor models may be used as virtual sensors in any of a variety of applications, such as in a simulated environment to test features and/or functionality of one or more autonomous or semi-autonomous driving software stacks.
    Type: Grant
    Filed: March 13, 2020
    Date of Patent: April 23, 2024
    Assignee: NVIDIA Corporation
    Inventors: Steen Kristensen, Alessandro Ferrari, Ayman Elsaeid
  • Patent number: 11960025
    Abstract: Systems, devices, and methods related to a radar and an artificial neural network are described. For example, the radar can have at least one processing unit configured to execute instructions implementing matrix computation of the artificial neural network. The artificial neural network is configured to identify features in the radar image in an output responsive to an input containing a radar image. Optionally, the radar can further include an image sensor to generate an optical image as part of the input to artificial neural network. Instead of outputting the radar images and/or the optical images, the radar may output a description of the features identified via the artificial neural network from the radar image.
    Type: Grant
    Filed: October 22, 2020
    Date of Patent: April 16, 2024
    Assignee: Micron Technology, Inc.
    Inventor: Poorna Kale
  • Patent number: 11953581
    Abstract: A radar system receives threat relevant data with pulses sufficiently separated to provide sufficient long-range imaging, analyzes the return data to identify features of the threat, and generate a second set of pulses to acquire more detailed, higher granularity data specific to the threat. The system may include an ESA that is configured for pulses in a higher frequency to acquire higher resolution data specific to the threat.
    Type: Grant
    Filed: October 18, 2021
    Date of Patent: April 9, 2024
    Assignee: Rockwell Collins, Inc.
    Inventors: Jacob G. Teague, Venkata A. Sishtla
  • Patent number: 11947018
    Abstract: A Global Navigation Satellite System (GNSS) receiver includes a wideband signal correlator and a multipath mitigator. The wideband signal correlator generates wideband correlation signals of at least one of a plurality of GNSS signals with respect to corresponding locally generated code replica signals in which a bandwidth of the wideband signal correlation module is at least about 20 MHz. The multipath mitigator determines a Line of Sight (LOS) signal from the wideband correlation signals. The GNNS receiver may include a narrowband signal correlator to generate narrowband correlation signals of the at least one GNSS signal with respect to corresponding locally generated code replica signals in which a bandwidth of the narrowband signal correlation module is less than about 6 MHz. The multipath mitigator further corrects a range and range-rate measurement generated from the narrowband correlation signals based on a code phase and a carrier estimated based on the LOS signal.
    Type: Grant
    Filed: August 12, 2020
    Date of Patent: April 2, 2024
    Inventor: Gary Lennen
  • Patent number: 11933913
    Abstract: A method of emulating echo signals reflected from an elongated target during radar testing includes identifying first and second end points do the target; acquiring a radar signal from a radar sensor that includes multiple receive elements; generating emulated echo signals, responsive to the acquired radar signal, corresponding to target points on the target, including the first and second end points and reference points located on a line connecting the first and second end points, by repeatedly identifying descriptive attributes corresponding to each of the target points during an integration period of the radar sensor, where the descriptive attributes are identified by interpolating between the corresponding descriptive attributes of the first and second end points; and applying the emulated echo signals to the receive elements of the radar sensor, respectively, during the integration period, where radar sensor calculates a relative position of the target using the descriptive attributes.
    Type: Grant
    Filed: September 28, 2020
    Date of Patent: March 19, 2024
    Inventor: Ken A. Nishimura
  • Patent number: 11921194
    Abstract: A radar anti-spoofing system for an autonomous vehicle includes a plurality of radar sensors that generate a plurality of input detection points representing radio frequency (RF) signals reflected from objects and a controller in electronic communication with the plurality of radar sensors. The one or more controllers execute instructions to determine a signal to noise ratio (SNR) distance ratio for the input detection points generated by the plurality of radar sensors, where a value of the SNR distance ratio is indicative of an object being a ghost vehicle. The one or more controllers also determine an effective particle number indicating a degree of particle degradation for the importance sampling for each variable that is part of the state variable. In response to determining the effective particle number is equal to or less than a predetermined threshold, the one or more controllers estimate a ghost position for the ghost vehicle.
    Type: Grant
    Filed: December 15, 2021
    Date of Patent: March 5, 2024
    Inventors: Yuri Owechko, Qin Jiang, Hyukseong Kwon
  • Patent number: 11914070
    Abstract: A radar target simulator front end, configured to simulate at least one radar target for testing a radar device under test is provided. The radar target simulator front end comprises at least two antenna units, arranged along a first angle under investigation. The at least two antenna units are configured to be selectively activated and deactivated. Whereby each antenna unit of the at least two antenna units generates a simulated radar target along the first angle under investigation, when activated.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: February 27, 2024
    Assignee: Rohde & Schwarz GmbH & Co. KG
    Inventors: Gerhard Hamberger, Matthias Beer, Steffen Neidhardt, Maximilian Bogner, Benedikt Simper
  • Patent number: 11914030
    Abstract: A method and apparatus for processing a transceiver signal (115) detected by a transceiver (110). The method includes obtaining (S1) a processed signal from the transceiver signal (115), the processed signal having frames (200, 300) corresponding to respective time intervals (t1, t2, t3, t4), wherein the frames define bins (210, 310) configured according to a quantized resolution (dr) of the transceiver signal (115). The method further includes obtaining (S2) data related to a relative motion of the transceiver (110) during a time interval (t1, t2, t3, t4) and initializing (S3) a residual distance to zero.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: February 27, 2024
    Inventors: Christian Schwert, Dirk Klotzbuecher
  • Patent number: 11885907
    Abstract: In various examples, a deep neural network(s) (e.g., a convolutional neural network) may be trained to detect moving and stationary obstacles from RADAR data of a three dimensional (3D) space, in both highway and urban scenarios. RADAR detections may be accumulated, ego-motion-compensated, orthographically projected, and fed into a neural network(s). The neural network(s) may include a common trunk with a feature extractor and several heads that predict different outputs such as a class confidence head that predicts a confidence map and an instance regression head that predicts object instance data for detected objects. The outputs may be decoded, filtered, and/or clustered to form bounding shapes identifying the location, size, and/or orientation of detected object instances. The detected object instances may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: January 30, 2024
    Assignee: NVIDIA Corporation
    Inventors: Alexander Popov, Nikolai Smolyanskiy, Ryan Oldja, Shane Murray, Tilman Wekel, David Nister, Joachim Pehserl, Ruchi Bhargava, Sangmin Oh
  • Patent number: 11885870
    Abstract: The present application discloses a new form of ?-STAP, referred to herein as post ?-STAP or P?-STAP, which overcomes the drawbacks associated with existing ?-STAP techniques. The P?-STAP techniques described herein facilitate the generation of additional training data and homogenization after pulse compression. For example, P?-STAP techniques may apply a plurality of homogenization filters to a pulse compressed datacube generated from an input radar waveform, which produces a plurality of new pulse compressed datacubes with improved characteristics. Unlike existing ?-STAP techniques described above, which require pre-pulse compressed data to operate, the P?-STAP techniques disclosed in the present application are designed to utilize pulse compressed data, and therefore may be readily applied to legacy radar systems.
    Type: Grant
    Filed: July 30, 2019
    Date of Patent: January 30, 2024
    Assignees: University of Kansas, The United States of America as Represented by the Secretary of the Air Force
    Inventors: Lumumba Harnett, Justin G. Metcalf, Shannon D. Blunt
  • Patent number: 11867829
    Abstract: Examples disclosed herein relate to generating continuous visualizations of beam steering vehicle radar scans by acquiring data for a beam steering radar scan, generating a Range Doppler Map (“RDM”) corresponding to the acquired radar data, displaying a visualization of the RDM showing a plurality of identified objects, shifting each identified object by its velocity to generate a shifted RDM, and updating the visualization at a display rate that is higher than a radar scan rate to display continuous movement. The display may be part of an augmented reality system presented to a driver on a windshield or dashboard.
    Type: Grant
    Filed: January 7, 2021
    Date of Patent: January 9, 2024
    Assignee: Metawave Corporation
    Inventor: Matthew Paul Harrison
  • Patent number: 11860023
    Abstract: A radar sensor for measuring a fill level and/or a point level of a product in a container is described, including a sensor configured to emit and/or to receive a radar signal; evaluation circuitry configured to determine a measurement signal; a housing having at least one housing region configured such that the radar signal can be transmitted through the housing region; an adhesive surface including an adhesive material, configured to attach the radar sensor to the container wall, is disposed on the outside of the housing at least along a portion of an outer circumference of the housing region, and a sealing surface including a sealing material configured to at least partially seal the housing region when the radar sensor is attached to the container wall, the sealing surface being disposed on the outside of the housing at least along a portion of the outer circumference of the housing region.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: January 2, 2024
    Assignee: VEGA Grieshaber KG
    Inventor: Levin Dieterle
  • Patent number: 11860294
    Abstract: Techniques and apparatuses are described that implement electromagnetic vector sensors (EMVS) for a smart-device-based radar system. Instead of including an antenna array of similar antenna elements, the radar system includes two or more electromagnetic vector sensors. At least one of the electromagnetic vector sensors is used for transmission and at least another of the electromagnetic vector sensors is used for reception. Each electromagnetic vector sensor includes a group of antennas with different antenna patterns, orientations, and/or polarizations. An overall footprint of the two electromagnetic vector sensors (e.g., one for transmission and one for reception) can be smaller than antenna arrays used by other radar systems, thereby enabling the radar system to be implemented within space-constrained devices.
    Type: Grant
    Filed: August 24, 2021
    Date of Patent: January 2, 2024
    Assignee: Google LLC
    Inventors: Luzhou Xu, Jiang Zhu, Jaime Lien, David J. Weber
  • Patent number: 11852720
    Abstract: A vehicular radar sensing system includes a radar sensor disposed at a vehicle so as to sense exterior of the vehicle and having at least one transmitter that transmits radio signals and at least one receiver that receives radio signals. The radar sensor includes a transmitting wave guide antenna and a receiving wave guide antenna, a PCB, and a processor operable to process radio signals transmitted by the at least one transmitter and received by the at least one receiver. Each of the wave guide elements includes a respective wave guide slot disposed at the inboard side of the PCB, and another respective wave guide slot that guides the radio signals to or from the environment, and a respective air wave guide that guides the radio signals between the respective wave guide slots.
    Type: Grant
    Filed: September 26, 2022
    Date of Patent: December 26, 2023
    Assignee: Magna Electronics Inc.
    Inventors: Holger Hess, Wilhelm Johann Wolfgang Wöhlte
  • Patent number: 11846724
    Abstract: Herein disclosed is a method for radar detection of a valid target within a monitored zone with disturbing elements passing therethrough, e.g. process scraps of a machine on which the radar system is installed. The method includes transmitting, receiving and processing radar signals to locate and track the movement of a moving potential target. The method discriminates whether the potential target is valid or not, by checking whether the potential target has an initial position within a disturbance zone and whether it is detected for an overall detection time period that is less than the assessment time interval. If a target is not valid, it will be assimilated to background after it stops.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: December 19, 2023
    Assignee: Inxpect S.p.A.
    Inventors: Alessio Degani, Andrea Tartaro, Marco Garatti, Ugo Bertacchini
  • Patent number: 11841421
    Abstract: A synthetic aperture radar image analysis system 20 includes: a phase correlation determination means 21 which determines a strength of the phase correlation between a plurality of pixels in an image selected from among a plurality of images on the basis of the plurality of images that have been photographed by a synthetic aperture radar and show the same point; a shape determination means 22 which determines a degree of similarity between the shape of the distribution of the plurality of pixels and an object shape indicated by geospatial information; and an association means 23 which associates the plurality of pixels with the object on the basis of the determined strength of the phase correlation and the determined degree of similarity.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: December 12, 2023
    Inventors: Taichi Tanaka, Daisuke Ikefuji, Osamu Hoshuyama
  • Patent number: 11828869
    Abstract: A narrowband AJ signaling system includes an AJ processor placed between a high precision analog-to-digital (ADC) converter and a narrowband digital receiver. In another example, the AJ processor is placed between the high precision ADC and a digital-to-analog converter (DAC). The AJ processor of either example may suppress the jammer power down to the level of the noise floor of the system.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: November 28, 2023
    Inventor: Philip A Dafesh
  • Patent number: 11828836
    Abstract: A system and method for detection and identification of an Unmanned Aircraft Systems (UAS) employs a radar system to detect and identify the UAS based on the rich Doppler spectrum generated by one or more rotors and associated motors onboard the UAS. UAS have a low radar cross sections (RCS), relatively low speed, and possess a unique Doppler signature providing data for the system to discriminate once the system detects the quadcopter UAS. The system and method functions as a traditional radar, yet analyzes the micro-Doppler signature, including the RCS and radial speed, to detect and identify the UAS. Based on the signature analysis, the system and method are able to distinguish one model from other types of UAS.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: November 28, 2023
    Assignee: Rockwell Collins, Inc.
    Inventors: Roger A. Dana, Jean-Phillippe Wasselin, John W. Borghese