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Real-time detection of traffic situation

  • US 10,540,554 B2
  • Filed: 03/29/2018
  • Issued: 01/21/2020
  • Est. Priority Date: 03/29/2018
  • Status: Active Grant
First Claim
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1. A method comprising:

  • extracting a region of interest (ROI) from an image depicting a roadway;

    executing a first object detector that detects, in the ROI, a first situation object matching a first object type based on object features of the first situation object, the first situation object reflecting a first physical roadway object depicted in the ROI;

    generating a first object confidence score for the first situation object based on a level of similarity between the first situation object and the first object type;

    executing, in parallel with the first object detector, a second object detector that detects, in the ROI, a second situation object matching a second object type that is different from the first object type based on object features of the second situation object, the second situation object reflecting a second physical roadway object depicted in the ROI;

    generating a second object confidence score for the second situation object based on a level of similarity between the second situation object and the second object type;

    determining that the first object type detected by the first object detector and the second object type detected by the second object detector are associated with a first prospective situation category;

    combining the first object confidence score and the second object confidence score into a first situation confidence score corresponding to the first prospective situation category; and

    evaluating the first situation confidence score to determine that the first prospective situation category applies to the ROI and that a first traffic situation defined by the first prospective situation category is depicted in the ROI.

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