Patents by Inventor Kay-Ulrich Scholl

Kay-Ulrich Scholl 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: 20210107496
    Abstract: System and techniques for passenger discomfort measurement during vehicle maneuver are described herein. A set of biomechanical measurements of a passenger in a vehicle may be obtained. A subset from the set of biomechanical measurements with members that correspond to distress in the passenger are selected and a search of vehicle actions performed that correspond to the subset of biomechanical measurements in time. Then, modification to future application of the vehicle action is made to reduce distress in passengers.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Fabian Oboril, Cornelius Buerkle, Kay-Ulrich Scholl
  • Publication number: 20210107530
    Abstract: Systems and techniques for a distributed in-vehicle realtime sensor data processing as a service are described herein. In an example, a system is adapted to receive a request for sensor data from vehicles. The system may be further adapted to generate an application for collection of the sensor data. The application may have sensor requirements for performing the collection of sensor data. The system may be further adapted to identify a set of vehicles for distribution of the application based on available sensors in each vehicle corresponding to the sensor requirements. The system may be further adapted to transmit the application to the set of vehicles and receive sensor data results from respective instances of the application executing on the set of vehicles. The system may be further adapted to transmit a command to remove the respective instances of the application from the set of vehicles.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Cornelius Buerkle, Kay-Ulrich Scholl, Fabian Oboril, Frederik Pasch
  • Publication number: 20210108929
    Abstract: Disclosed are embodiments for adjusting a vehicle stopping point. The vehicle stopping point is a point between a route of the vehicle and a second route. in some embodiments, an adjustment to the stopping point is determined based on ranking secondary routes that are adjusted based on the adjusted vehicle stopping point. Tanking of the secondary routes is based, in sonic embodiments, on a score of segment(s) included in the secondary routes. In some cases, the ranking of the segments considers safety information associated with each of the segments.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Yi Zhang, Frederik Pasch, Hao Feng, Cornelius Buerkle, Maruti Gupta Hyde, Fabian Oboril, Ravikumar Balakrishnan, Kay-Ulrich Scholl
  • Publication number: 20210112393
    Abstract: Mobility-as-a-Service (MaaS) provides technical solutions for technical problems facing this shift toward public and private vehicles for hire, including providing a platform for users to identify and select public transportation and private vehicles for hire. Users may plan and book transportation services through a MaaS platform, such as a smartphone application. Technical solutions described herein include improved identification and selection of a vehicle based on wireless communication, such as using Near-Field Communication (NFC), Bluetooth, Wi-Fi, and other wireless communication.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Fabian Oboril, Frederik Pasch, Cornelius Buerkle, Bernd Gassmann, Kay-Ulrich Scholl
  • Publication number: 20210103738
    Abstract: Various systems and methods for providing assistance at the end of an autonomous system journey are provided. A system can include an autonomous system configured to transport the user, a first sensor coupled to the autonomous system and configured to provide a sensor stream of an environment between the autonomous system and a terminus, and a terminus assistance processor mechanically coupled to the autonomous system. In an example, the terminus assistance processor can receive and process the sensor stream, detect and can track the user in the environment in response to the sensor stream, and can provide status information to a first mobile device based on the sensor stream.
    Type: Application
    Filed: December 17, 2020
    Publication date: April 8, 2021
    Inventors: Cornelius Buerkle, Kay-Ulrich Scholl, Fabian Oboril, Frederik Pasch
  • Publication number: 20200262423
    Abstract: A system for a vehicle may be configured to, for each combination including a driving behavior of one or more driving behaviors, a traffic situation of one or more traffic situations in which to implement the one or more driving behaviors, and an object hypothesis of one or more object hypotheses for each of the one or more traffic situations obtain, for the respective combination, one or more driving model parameters associated with the driving behavior and object hypothesis for the respective combination obtain, for the respective combination, a probability indicating a likelihood of an accident or collision for the respective combination determine, for the respective combination, a risk value based on the obtained safety driving parameters and the obtained probability for the respective combination; and select a driving behavior for each traffic situation based at least in part on the one or more determined risk values.
    Type: Application
    Filed: May 8, 2020
    Publication date: August 20, 2020
    Inventors: Fabian Oboril, Kay-Ulrich Scholl
  • 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
  • Publication number: 20200226426
    Abstract: A training device may include one or more processors configured to generate, using a data augmentation model, augmented sensor data for sensor data, the sensor data provided by a plurality of sensors, wherein the augmented sensor data comprise error states of one or more sensors of the plurality of sensors providing the sensor data, and to train an object detection model based on the augmented sensor data.
    Type: Application
    Filed: March 26, 2020
    Publication date: July 16, 2020
    Inventors: Julio Jarquin Arroyo, Kay-Ulrich Scholl
  • 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
  • Publication number: 20200137575
    Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide for controlled access of vehicle information by trusted authority systems. These systems may allow for police and other authority figures to utilize the onboard systems of the vehicle or obtain other information about the vehicle and occupants while safely in their own vehicles prior to an initial encounter with the vehicle and occupants.
    Type: Application
    Filed: December 11, 2019
    Publication date: April 30, 2020
    Inventors: Kay-Ulrich Scholl, Fabio Cesari
  • Publication number: 20200130662
    Abstract: Aspects concern a method for controlling a braking of a vehicle. The method including detecting a braking situation, determining a classification of the braking situation, selecting a braking profile based on the determined classification, and applying a deceleration based on the selected braking profile to maintain a safety distance based on the selected braking profile.
    Type: Application
    Filed: December 27, 2019
    Publication date: April 30, 2020
    Inventors: Cornelius BUERKLE, Julio JARQUIN ARROYO, Fabian OBORIL, Florian GEISSLER, Kay-Ulrich SCHOLL, Ignacio ALVAREZ
  • 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: 20190122373
    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: December 10, 2018
    Publication date: April 25, 2019
    Applicant: Intel Corporation
    Inventors: KOBA NATROSHVILI, KAY-ULRICH SCHOLL
  • Patent number: 10262394
    Abstract: Technologies for determining a distance of an object from a vehicle include a computing device to identify an object captured in a fisheye image generated by a fisheye camera of the vehicle. The computing device projects a contour of the identified object on a selected virtual plane that is located outside the vehicle and selected from a predefined set of virtual planes based on a location of the identified object relative to the vehicle. The computing device identifies a bottom of the projected contour on the selected virtual plane and determines an intersection point of an imaginary line with a ground plane coincident with a plane on which the vehicle is positioned. The imaginary line passes through each of the identified bottom of the projected contour and the fisheye camera. The computing device determines a location of the identified object relative to the vehicle based on the determined intersection point and the identified bottom of the projected contour.
    Type: Grant
    Filed: September 6, 2016
    Date of Patent: April 16, 2019
    Assignee: Intel Corporation
    Inventors: Kay-Ulrich Scholl, Koba Natroshvili
  • Publication number: 20190102911
    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: Application
    Filed: September 29, 2017
    Publication date: April 4, 2019
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl