Patents by Inventor Vlad ZHUKOV

Vlad ZHUKOV 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).

  • Apparatus and associated methods for use in lane-level mapping of road intersections
    Patent number: 11761789
    Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate, in respect of a road intersection, grouped probe data using probe data derived from probed vehicular movements through the road intersection, wherein the grouped probe data is generated by grouping together probe data comprising vehicle trajectories which have respective common heading angles at points of entry to and exit from the road intersection; and provide the grouped probe data for use in lane-level mapping of the road intersection.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: September 19, 2023
    Assignee: HERE GLOBAL B.V.
    Inventors: Xiang Ma, Xin Chen, Vlad Zhukov
  • APPARATUS AND ASSOCIATED METHODS FOR USE IN LANE-LEVEL MAPPING OF ROAD INTERSECTIONS
    Publication number: 20200103237
    Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate, in respect of a road intersection, grouped probe data using probe data derived from probed vehicular movements through the road intersection, wherein the grouped probe data is generated by grouping together probe data comprising vehicle trajectories which have respective common heading angles at points of entry to and exit from the road intersection; and provide the grouped probe data for use in lane-level mapping of the road intersection.
    Type: Application
    Filed: December 3, 2019
    Publication date: April 2, 2020
    Inventors: Xiang MA, Xin CHEN, Vlad ZHUKOV
  • Apparatus and associated methods for use in lane-level mapping of road intersections
    Patent number: 10533863
    Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate, in respect of a road intersection, grouped probe data using probe data derived from probed vehicular movements through the road intersection, wherein the grouped probe data is generated by grouping together probe data comprising vehicle trajectories which have respective common heading angles at points of entry to and exit from the road intersection; and provide the grouped probe data for use in lane-level mapping of the road intersection.
    Type: Grant
    Filed: October 10, 2014
    Date of Patent: January 14, 2020
    Assignee: HERE Global B.V.
    Inventors: Xiang Ma, Xin Chen, Vlad Zhukov
  • Learning signs from vehicle probes
    Patent number: 9459626
    Abstract: Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.
    Type: Grant
    Filed: December 11, 2014
    Date of Patent: October 4, 2016
    Assignee: HERE Global B.V.
    Inventors: Xin Chen, Di Ma, Xiang Ma, Roman Ostrovskiy, Vlad Zhukov, Xiaotao Zou
  • Learning Signs From Vehicle Probes
    Publication number: 20160170414
    Abstract: Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.
    Type: Application
    Filed: December 11, 2014
    Publication date: June 16, 2016
    Inventors: Xin Chen, Di Ma, Xiang Ma, Roman Ostrovskiy, Vlad Zhukov, Xiaotao Zou
  • Apparatus and associated methods for use in lane-level mapping of road intersections
    Publication number: 20160102986
    Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate, in respect of a road intersection, grouped probe data using probe data derived from probed vehicular movements through the road intersection, wherein the grouped probe data is generated by grouping together probe data comprising vehicle trajectories which have respective common heading angles at points of entry to and exit from the road intersection; and provide the grouped probe data for use in lane-level mapping of the road intersection.
    Type: Application
    Filed: October 10, 2014
    Publication date: April 14, 2016
    Applicant: Here Global B.V.
    Inventors: Xiang MA, Xin CHEN, Vlad ZHUKOV