Patents by Inventor Nikolai Morin

Nikolai Morin 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).

  • Patent number: 11727601
    Abstract: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: August 15, 2023
    Assignee: Woven Planet North America, Inc.
    Inventors: Clemens Marschner, Thomas Schiwietz, Wilhelm Richert, Nikolai Morin, Holger Rapp
  • Patent number: 11295521
    Abstract: The present disclosure relates to a method of generating a ground map. For instance, the present disclosure provides a method of determining relevant point cloud data for generating a surface topology over real-world geographical areas using sensor data, which may involve (i) receiving a first dataset from a first sensor, (ii) receiving a second dataset from a second sensor, (iii) classifying the first dataset by identifying characteristics of the first dataset that correspond to a ground surface, (iv) filtering the second dataset based on the classified first dataset, and (v) generating a ground map from the filtered second dataset.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: April 5, 2022
    Assignee: Woven Planet North America, Inc.
    Inventors: Marco Caccin, Clemens Marschner, Nikolai Morin, Darko Zikic
  • Publication number: 20220020177
    Abstract: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.
    Type: Application
    Filed: March 29, 2021
    Publication date: January 20, 2022
    Applicant: Woven Planet North America, Inc.
    Inventors: Clemens Marschner, Thomas Schiwietz, Wilhelm Richert, Nikolai Morin, Holger Rapp
  • Publication number: 20210304491
    Abstract: The present disclosure relates to a method of generating a ground map. For instance, the present disclosure provides a method of determining relevant point cloud data for generating a surface topology over real-world geographical areas using sensor data, which may involve (i) receiving a first dataset from a first sensor, (ii) receiving a second dataset from a second sensor, (iii) classifying the first dataset by identifying characteristics of the first dataset that correspond to a ground surface, (iv) filtering the second dataset based on the classified first dataset, and (v) generating a ground map from the filtered second dataset.
    Type: Application
    Filed: March 25, 2020
    Publication date: September 30, 2021
    Inventors: Marco Caccin, Clemens Marschner, Nikolai Morin, Darko Zikic
  • Patent number: 11037328
    Abstract: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: June 15, 2021
    Assignee: Lyft, Inc.
    Inventors: Clemens Marschner, Thomas Schiwietz, Wilhelm Richert, Nikolai Morin, Holger Rapp
  • Patent number: 10997750
    Abstract: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: May 4, 2021
    Assignee: Lyft, Inc.
    Inventors: Clemens Marschner, Thomas Schiwietz, Wilhelm Richert, Nikolai Morin, Holger Rapp