Patents by Inventor Marcus NEPVEAUX

Marcus NEPVEAUX 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: 20250191380
    Abstract: A method of identifying road distress on a road based on imagery of the road is disclosed. The method is performed by a processor and comprises the steps of: identifying a region of interest from road regions detected in the imagery of the road; detecting one or more road distresses present in the region of interest by identifying features associated with physical characteristics related to road distress in an original image comprising the region of interest; detecting one or more road distresses present in the region of interest by identifying features associated with physical characteristics related to road distress in a corrected image obtained by applying at least one of optical distortion correction and perspective distortion correction to the original image comprising the region of interest; and identifying one or more road distresses by combining the detection based on the original image and the detection based on the corrected image.
    Type: Application
    Filed: December 12, 2023
    Publication date: June 12, 2025
    Inventors: Marcus NEPVEAUX, Matthew CONNELLY-TAYLOR, Andrea ANNOVI, Manpreet MINHAS, Liam BUI
  • Publication number: 20240185423
    Abstract: The present disclosure is directed to systems and techniques for processing frames of data. For example, a method can include obtaining a plurality of geospatial data inputs, each geospatial data input of the plurality of geospatial data inputs associated with a sample time and a surveyed area; generating a plurality of features corresponding to each geospatial data input of the plurality of geospatial data inputs; and generating, using a segmentation machine learning network, one or more segmentation masks for the plurality of geospatial data inputs.
    Type: Application
    Filed: December 6, 2022
    Publication date: June 6, 2024
    Applicant: FNV IP B.V.
    Inventors: Marcus NEPVEAUX, Jed ABANAT, Anmol Sharan NAGI
  • Publication number: 20190065824
    Abstract: The spatial data analysis system for processing spatial data comprises a statistical analysis module (20) and a convolutional neural network (30). The statistical analysis module (20) calculates a discrete two-dimensional spatial distribution (V(k,l)) of at least one statistical measure derived from said spatial data. The spatial distribution defines a statistical measure value of one or more statistical measure for respective raster elements (R(k,l)) in a two-dimensional raster for the data elements derived from the spatial data in the spatial window associated with the raster element. The convolutional neural network (30) is configured to provide object information of objects based on the statistical data.
    Type: Application
    Filed: April 4, 2017
    Publication date: February 28, 2019
    Applicant: Fugro N.V.
    Inventors: Chase GAUDET, Marcus NEPVEAUX, Kevin NORMAND