A method extracts a region of interest (ROI) from an image depicting a roadway; executes a first object detector that detects, in the ROI, a first situation object matching a first object type; generates a first object confidence score for the first situation object; executes, 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 different from the first object type; generates a second object confidence score for the second situation object; determines that the first object type and the second object type are associated with a prospective situation category; combines the first object confidence score and the second object confidence score into a situation confidence score corresponding to the prospective situation category; evaluates the situation confidence score to determine that a traffic situation defined by the prospective situation category is depicted in the ROI.


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    Title :

    交通状況のリアルタイム検出


    Publication date :

    2020-08-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Japanese


    Classification :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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