Patents by Inventor Koba Natroshvili

Koba Natroshvili has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210279894
    Abstract: A mechanism is described for facilitating depth and motion estimation in machine learning environments, according to one embodiment. A method of embodiments, as described herein, includes receiving a frame associated with a scene captured by one or more cameras of a computing device; processing the frame using a deep recurrent neural network architecture, wherein processing includes simultaneously predicating values associated with multiple loss functions corresponding to the frame; and estimating depth and motion based the predicted values.
    Type: Application
    Filed: May 26, 2021
    Publication date: September 9, 2021
    Applicant: Intel Corporation
    Inventors: KOBA NATROSHVILI, KAY-ULRICH SCHOLL
  • Patent number: 11077756
    Abstract: Various aspects of this disclosure provide an area occupancy determining device. The device may include a memory configured to store at least one occupancy grid of a predetermined region, and a processor. The processor may be configured to generate the occupancy grid of the predetermined region. The occupancy grid includes a plurality of grid cells, each grid cell framed by respective grid cell frame lines. At least some of the grid cells have been assigned an information about the occupancy of the region represented by the respective grid cell. The processor may further be configured to dynamically update the occupancy grid, thereby successively generating a plurality of updated occupancy grids. Each updated occupancy grid is moved relative to the previous occupancy grid such that an origin coordinate of the updated occupancy grid is positioned on a contact point of grid cell frame lines of adjacent grid cells.
    Type: Grant
    Filed: November 23, 2017
    Date of Patent: August 3, 2021
    Assignee: Intel Corporation
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Publication number: 20210190941
    Abstract: A method for classifying radar data, which have been obtained by registering radar radiation emitted from a transmitter and reflected by at least one object using at least one detector. The method includes: providing radar data, which include observations of a setting recorded at different points in time; ascertaining at least one portion of the radar data, which is rotated and/or scaled in at least one of the observations as compared to at least one other of the observations; ascertaining a fixed point of the rotation and/or scaling; transforming at least one two-dimensional representation of at least one part of the observations into logarithmic polar coordinates using the ascertained fixed point as the origin; and mapping the at least one transformed two-dimensional representation onto at least one class of a predefined classification via at least one classifier, which encompasses a neural network that includes at least one convolution layer.
    Type: Application
    Filed: December 11, 2020
    Publication date: June 24, 2021
    Inventor: Koba Natroshvili
  • Patent number: 11040714
    Abstract: According to various examples, a vehicle controller is described comprising a determiner configured to determine information about surroundings of a vehicle, the information about the surroundings comprising information about velocities of objects in the surroundings of the vehicle and a velocity controller configured to input the information about the surroundings of the vehicle and a specification of a path of the vehicle to a convolutional neural network, to determine a target velocity of the vehicle along the path based on an output of the convolutional neural network and to control the vehicle according to the determined target velocity.
    Type: Grant
    Filed: January 11, 2019
    Date of Patent: June 22, 2021
    Assignee: INTEL CORPORATION
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Patent number: 11024041
    Abstract: A mechanism is described for facilitating depth and motion estimation in machine learning environments, according to one embodiment. A method of embodiments, as described herein, includes receiving a frame associated with a scene captured by one or more cameras of a computing device; processing the frame using a deep recurrent neural network architecture, wherein processing includes simultaneously predicating values associated with multiple loss functions corresponding to the frame; and estimating depth and motion based the predicted values.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: June 1, 2021
    Assignee: INTEL CORPORATION
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Patent number: 10922817
    Abstract: A perception device, including at least one image sensor configured to detect a plurality of images; an information estimator configured to estimate from each image of the plurality of images a depth estimate, a velocity estimate, an object classification estimate and an odometry estimate; a particle generator configured to generate a plurality of particles, wherein each particle of the plurality of particles comprises a position value determined from the depth estimate, a velocity value determined from the velocity estimate and a classification value determined from the classification estimate; an occupancy hypothesis determiner configured to determine an occupancy hypothesis of a predetermined region, wherein each particle of the plurality of particles contributes to the determination of the occupancy hypothesis.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: February 16, 2021
    Assignee: Intel Corporation
    Inventor: Koba Natroshvili
  • Patent number: 10907972
    Abstract: A method for sensing the position of a vehicle on a three-dimensional map is provided, which may include receiving, from one or more sensors, sensor information about a three-dimensional position of the vehicle; and applying a distributed Kalman filter to the sensor information to determine the position of the vehicle on the three-dimensional map.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: February 2, 2021
    Assignee: INTEL CORPORATION
    Inventor: Koba Natroshvili
  • Publication number: 20200278689
    Abstract: Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.
    Type: Application
    Filed: December 20, 2017
    Publication date: September 3, 2020
    Inventors: Andrew LARSON, Subhas BALAPPANAVAR, Daniel POHL, Koba NATROSHVILI, Cornelius BUERKLE, Ellann COHEN, Andreas HERDEN, Ralph V. MIELE, David PIDWERBECKI, Roman SCHICK, Henning SCHROEDER, Mark E. SPRENGER
  • Patent number: 10754032
    Abstract: A perception device including a receiver configured to receive sensor information including information about a location of one or more objects detected by a sensor; a memory configured to store an occupancy grid of a predetermined region, wherein the occupancy grid includes a plurality of grid cells, wherein each grid cell represents an area in the predetermined region, wherein at least one grid cell of the plurality of grid cells is associated with a respective single occupancy hypothesis; a single occupancy hypothesis determiner configured to determine a single occupancy hypothesis; wherein the single occupancy hypothesis includes degree of belief of occupancy of the grid cell depending on the sensor information; wherein a contribution of a sensor information value to the degree of belief of occupancy substantially decreases with an increase of a distance of the location of the object detected by the sensor from a center of the grid cell.
    Type: Grant
    Filed: June 21, 2018
    Date of Patent: August 25, 2020
    Assignee: Intel Corporation
    Inventors: Koba Natroshvili, Klaus Uhl
  • Patent number: 10733697
    Abstract: An apparatus for applying a convolutional neural network (CNN) to a wide-angle camera image is described herein. The apparatus includes a camera, controller, convolution mechanism and a fully connected layer. The camera is to capture a wide-angle image, and the controller is to map the image on a 3D surface. The convolution mechanism is to perform convolution on the 3D surface and the fully connected layer is to classify a plurality of features generated by the convolution mechanism.
    Type: Grant
    Filed: December 27, 2016
    Date of Patent: August 4, 2020
    Assignee: Intel IP Corporation
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Patent number: 10724854
    Abstract: An occupancy grid object determining device is provided, which may include a grid generator configured to generate an occupancy grid of a predetermined region, the occupancy grid including a plurality of grid cells and at least some of the grid cells having been assigned an information about the occupancy of the region represented by the respective grid cell, a determiner configured to determine at least one object in the occupancy grid wherein the at least one object includes a plurality of grid cells, and a remover configured to remove occupancy information from at least one grid cell of the plurality of grid cells of the determined object.
    Type: Grant
    Filed: December 27, 2017
    Date of Patent: July 28, 2020
    Assignee: Intel IP Corporation
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Patent number: 10726563
    Abstract: A visual odometry device, including: an image sensor configured to provide a first image and a second image; a visual feature extractor configured to extract at least three visual features corresponding to each of the first image and the second image; and a position determiner, configured to determine a change of a position of the at least three visual features between the first image and the second image, and to determine a degree of translation of the visual odometry device based on the determined change of position.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: July 28, 2020
    Assignee: Intel Corporation
    Inventors: Kay-Ulrich Scholl, Koba Natroshvili
  • Patent number: 10692173
    Abstract: Technologies for utilizing a bowl-shaped image include a computing device to receive a first fisheye image capturing a first scene and a second fisheye image capturing a second scene overlapping with the first scene at an overlapping region. The computing device generates a combined image of the first fisheye image and the second fisheye image, performs object classification on a region of interest of at least one of the first fisheye image or the second fisheye image to classify an object within the region of interest, and generates a portion of a bowl-shaped image based on the combined image.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: June 23, 2020
    Assignee: Intel Corporation
    Inventors: Kay-Ulrich Scholl, Koba Natroshvili
  • Patent number: 10685289
    Abstract: Techniques are disclosed for improving classification performance in supervised learning. In accordance with some embodiments, a multiclass support vector machine (SVM) having three or more classes may be converted to a plurality of binary problems that then may be reduced via one or more reduced-set methods. The resultant reduced-set (RS) vectors may be combined together in one or more joint lists, along with the original support vectors (SVs) of the different binary classes. Each binary problem may be re-trained using the joint list(s) by applying a reduction factor (RF) parameter to reduce the total quantity of RS vectors. In re-training, different kernel methods can be combined, in accordance with some embodiments. Reduction may be performed until desired classification performance is achieved. The disclosed techniques can be used, for example, to improve classification speed, accuracy, class prioritization, or a combination thereof, in the SVM training phase, in accordance with some embodiments.
    Type: Grant
    Filed: June 5, 2015
    Date of Patent: June 16, 2020
    Assignee: Intel Corporation
    Inventor: Koba Natroshvili
  • Patent number: 10650553
    Abstract: A method of image processing is provided. The method may include: determining a candidate tuple from at least two images that are taken at different times, wherein the candidate tuples are determined using at least odometry sensor information. The couple of subsequent images have been detected by a moving image sensor moved by a vehicle. The odometry sensor information is detected by a sensor moved by the vehicle. The method may further include classifying the candidate tuples into a static tuple or a dynamic tuple. The static tuple represents a static object within the couple of subsequent images, and the dynamic tuple represents a moving object within the couple of subsequent images.
    Type: Grant
    Filed: December 27, 2017
    Date of Patent: May 12, 2020
    Assignee: INTEL IP CORPORATION
    Inventors: Koba Natroshvili, Okan Köse
  • Patent number: 10621753
    Abstract: An extrinsic camera calibration system (ECCS) comprising a surround view system (SVS) interface connecting the ECCS to the SVS. The SVS comprises four cameras mounted to front, back, left, and right sides of a vehicle respectively that are front, back, left, and right cameras, as well as an imaging interface at which images from the four cameras are output. A calibration pattern that comprises a set of features is used by an extrinsic calibration processor. A network interface is connected to the four cameras via the imaging interface. The processor receives, from each camera, an image comprising captured features from the calibration pattern. It determines and stores extrinsic calibration parameters (ECPs) for each camera that map coordinates of the features to camera coordinates and that are usable for subsequent normal operation of the cameras, the ECPs being determined from the image features.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: April 14, 2020
    Assignee: Intel IP Corporation
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Publication number: 20200101969
    Abstract: According to various examples, a vehicle controller is described comprising a determiner configured to determine information about surroundings of a vehicle, the information about the surroundings comprising information about velocities of objects in the surroundings of the vehicle and a velocity controller configured to input the information about the surroundings of the vehicle and a specification of a path of the vehicle to a convolutional neural network, to determine a target velocity of the vehicle along the path based on an output of the convolutional neural network and to control the vehicle according to the determined target velocity.
    Type: Application
    Filed: January 11, 2019
    Publication date: April 2, 2020
    Inventors: Koba NATROSHVILI, Kay-Ulrich SCHOLL
  • Patent number: 10442355
    Abstract: Technologies for visualizing moving objects on a bowl-shaped image include a computing device to receive a first fisheye image generated by a first fisheye camera and capturing a first scene and a second fisheye image generated by a second fisheye camera and capturing a second scene overlapping with the first scene at an overlapping region. The computing device identifies a moving object in the overlapping region and modifies a projected overlapping image region to visualize the identified moving object on a virtual bowl-shaped projection surface. The projected overlapping image region is projected on the virtual bowl-shaped projection surface and corresponds with the overlapping region captured in the first and second fisheye images.
    Type: Grant
    Filed: September 17, 2014
    Date of Patent: October 15, 2019
    Assignee: Intel Corporation
    Inventors: Kay-Ulrich Scholl, Cornelius Buerkle, Koba Natroshvili
  • Publication number: 20190212453
    Abstract: According to various examples, a vehicle controller is described comprising a determiner configured to determine information about surroundings of a vehicle, the information about the surroundings comprising information about velocities of objects in the surroundings of the vehicle and a velocity controller configured to input the information about the surroundings of the vehicle and a specification of a path of the vehicle to a convolutional neural network, to determine a target velocity of the vehicle along the path based on an output of the convolutional neural network and to control the vehicle according to the determined target velocity.
    Type: Application
    Filed: September 28, 2018
    Publication date: July 11, 2019
    Inventors: Koba NATROSHVILI, Kay-Ulrich SCHOLL
  • Publication number: 20190188862
    Abstract: A perception device, including at least one image sensor configured to detect a plurality of images; an information estimator configured to estimate from each image of the plurality of images a depth estimate, a velocity estimate, an object classification estimate and an odometry estimate; a particle generator configured to generate a plurality of particles, wherein each particle of the plurality of particles comprises a position value determined from the depth estimate, a velocity value determined from the velocity estimate and a classification value determined from the classification estimate; an occupancy hypothesis determiner configured to determine an occupancy hypothesis of a predetermined region, wherein each particle of the plurality of particles contributes to the determination of the occupancy hypothesis.
    Type: Application
    Filed: February 26, 2019
    Publication date: June 20, 2019
    Inventor: Koba NATROSHVILI