A method includes receiving an image 200 of a region near a vehicle and processing the image using a first neural network (NN) to determine one or more locations 202-208 where pedestrians are likely located within the image. The method also includes processing the one or more locations of the image using a second NN to determine that a pedestrian is present and notifying a driving assistance system or automated driving system that the pedestrian is present. Independent claims are also included for a system and a computer product. The first NN could generate a low-resolution saliency map 300, while the second NN processes locations at full resolution. The second NN could be trained using cropped ground truth bounding boxes.


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    Title :

    Pedestrian detection with saliency maps


    Contributors:

    Publication date :

    2017-09-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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