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Characterizing optically reflective features via hyper-spectral sensor

  • US 10,508,986 B1
  • Filed: 04/23/2018
  • Issued: 12/17/2019
  • Est. Priority Date: 09/27/2012
  • Status: Active Grant
First Claim
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1. A method comprising:

  • generating, using a light detection and ranging (LIDAR) device associated with an autonomous vehicle, a point cloud that indicates reflective features in an environment of the autonomous vehicle;

    identifying a particular reflective feature indicated in the point cloud for analysis, the analysis using data from a sensor separate from the LIDAR device, wherein the sensor is associated with the autonomous vehicle, and wherein the sensor has a spectral range of sensitivity that includes infrared radiation;

    imaging, using the sensor, at least a portion of the environment that includes the particular reflective feature indicated in the point cloud, wherein the imaging generates data indicative of infrared radiation received from the particular reflective feature;

    in response to identifying the particular reflective feature indicated in the point cloud for analysis, classifying the particular reflective feature based on the data indicative of infrared radiation received from the particular reflective feature;

    determining a path of the autonomous vehicle based on at least the point cloud and the classification of the particular reflective feature; and

    controlling the autonomous vehicle to navigate along the path.

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