×

MACHINE LEARNING A FEATURE DETECTOR USING SYNTHETIC TRAINING DATA

  • US 20190325264A1
  • Filed: 04/24/2018
  • Published: 10/24/2019
  • Est. Priority Date: 04/24/2018
  • Status: Active Grant
First Claim
Patent Images

1. A method comprising:

  • defining, via a network apparatus, first probe data, an instance of first probe data comprising one or more labels and sensor data of a first probe style;

    generating, via a style transfer model operating at least in part on the network apparatus, training data based on at least a portion of the first probe data, wherein an instance of training data corresponds to an instance of first probe data and sensor data in a second probe style, the second probe style being different from the first probe style;

    training, via the network apparatus, a second probe style model using machine learning and at least a portion of the training data, wherein (a) the second probe style model is used to analyze one or more instances of second probe data of the second probe style to extract map information from the second probe data and (b) each instance of second probe data is captured by one or more second probe sensors of a second probe apparatus.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×