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Systems and methods for capturing images and annotating the captured images with information

  • US 9,704,043 B2
  • Filed: 12/16/2014
  • Issued: 07/11/2017
  • Est. Priority Date: 12/16/2014
  • Status: Active Grant
First Claim
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1. A method for training a classifier of a mobile robot, the method comprising:

  • obtaining a plurality of image frames along a drive direction of the mobile robot,the plurality of image frames comprising a base image frame corresponding to an initial pose of the mobile robot and subsequent image frames obtained at intervals during forward travel of the mobile robot,the mobile robot having a forward facing camera mounted thereon for obtaining the image frames,the camera having a field of view including a floor in front of the mobile robot, andthe mobile robot having a memory device configured to store a learned data set of a plurality of descriptors determined by mobile robot events;

    assuming that a location is traversable floor, wherein the mobile robot is configured to detect traversable floor and non-traversable non-floor with one or more sensors mounted on the mobile robot;

    determining that the location is non-traversable non-floor based on a robot sensor event at the location, the robot sensor event comprising detection of a collision;

    retrieving from a frame buffer an image frame obtained immediately prior to the robot sensor event;

    generating a floor descriptor corresponding to characteristics of the floor at a bottom of the image frame captured by the camera immediately prior to the robot sensor event;

    generating a non-floor descriptor corresponding to characteristics of the non-traversable non-floor at a top of the image frame captured by the camera immediately prior to the robot sensor event; and

    storing the floor descriptor and the non-floor descriptor in the learned data set.

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