METHOD AND SYSTEM FOR DETERMINING ITEMS OF INFORMATION REGARDING THE MOVEMENT OF A VEHICLE

    公开(公告)号:US20240174260A1

    公开(公告)日:2024-05-30

    申请号:US18551589

    申请日:2022-03-18

    IPC分类号: B60W60/00

    CPC分类号: B60W60/001 B60W2420/403

    摘要: A method for determining information about the ego-motion of a vehicle, wherein the vehicle comprises a stereo camera system with at least two cameras for capturing stereo images of the area surrounding the vehicle and an artificial neural network for processing the image information provided by the stereo camera system, wherein the stereo camera system captures image sequences which contain a plurality of image information at different points in time by means of the at least two cameras during the movement of the vehicle, wherein the artificial neural network receives the image information and, based thereon, generates stereo images with distance information, and the artificial neural network provides information regarding the ego-motion of the vehicle at an output interface on the basis of the image information of the stereo camera system.

    Robust Stereo Camera Image Processing Method and System

    公开(公告)号:US20230421739A1

    公开(公告)日:2023-12-28

    申请号:US18342268

    申请日:2023-06-27

    IPC分类号: H04N13/128

    CPC分类号: H04N13/128 H04N2013/0081

    摘要: The disclosure relates to a method and system for extracting disparity information out of a pair of stereo camera images for processing images of camera sensors for Automated Driving or Advanced Driver Assistance Systems in a vehicle. The method includes: a) receiving a pair of unrectified stereo camera images, b) performing a 2D-matching of the received pair of images using a trained convolutional neural network and providing the 2D-displacement on a pixel-by-pixel level as disparity information, and c) outputting the 2D-displacement on pixel level. The method is robust which does not require a high precision rectification. Applying rectification on the disparity values after the matching process leads to reduced algorithmic complexity with simultaneous preservation of all information.