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Systems and methods for identification of objects using audio and sensor data

  • US 10,445,597 B2
  • Filed: 10/17/2017
  • Issued: 10/15/2019
  • Est. Priority Date: 10/17/2017
  • Status: Active Grant
First Claim
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1. A fusion system for identifying aspects of a surrounding environment of a vehicle comprising:

  • one or more processors;

    a memory communicably coupled to the one or more processors and storing;

    a monitoring module including instructions that when executed by the one or more processors cause the one or more processors to, in response to acquiring audio data from at least one microphone integrated with the vehicle and feature data from at least one sensor of the vehicle, analyze, using a deep learning algorithm, the feature data to generate a classification of an object embodied by the feature data, the classification including a confidence interval; and

    an identification module including instructions that when executed by the one or more processors cause the one or more processors to selectively refine the classification using the deep learning algorithm as a function of at least the audio data by regenerating the classification using the feature data and the audio data when at least one of;

    the confidence interval satisfies a non-detection threshold, and the classification indicates the object is partially occluded, wherein the classification identifies at least characteristics about a shape and size of the object; and

    wherein the identification module further includes instructions to control one or more vehicle systems of the vehicle according to the classification.

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