VIDEO IMAGE PROCESSING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:EP4319160A1

    公开(公告)日:2024-02-07

    申请号:EP21933777.1

    申请日:2021-03-31

    IPC分类号: H04N19/17

    摘要: Provided is a video image processing method, apparatus, and device, and a storage medium. The method includes: obtaining a first target-frame video image, the first target-frame video image being one of to-be-processed multi-frame video images (S101); performing target detection on the first target-frame video image to determine at least one target object in the first target-frame video image (S103); determining at least one first to-be-processed target object of the at least one target object based on a predetermined classification rule of a to-be-processed target object (S105); and replacing, in the first target-frame video image, the at least one first to-be-processed target object with a predetermined target substitute to obtain a second target-frame video image (5107). Data volume of the predetermined target substitute is smaller than date volume of the at least one first to-be-processed target object. Data volume of a video is reduced without affecting an actual output effect using the method. In this way, a transmission rate of the video in improved, and transmission delay of the video is decreased.

    ENVIRONMENT MATCHING-BASED VEHICLE LOCALIZATION METHOD AND APPARATUS, VEHICLE, AND STORAGE MEDIUM

    公开(公告)号:EP4375856A1

    公开(公告)日:2024-05-29

    申请号:EP21953755.2

    申请日:2021-08-19

    IPC分类号: G06F18/00 G06N3/04 G01C21/30

    CPC分类号: G06N3/04 G01C21/30

    摘要: The present application relates to the field of automatic driving technology, and discloses a vehicle positioning method and device based on environment matching, a vehicle and a storage medium. The method includes: step S10: obtaining current environment data and a current road image of a location of a vehicle to be located; step S20: searching for an environmental impact road image set matching with the current environment data; step S30: matching the current road image with an environmental impact road image in the environmental impact road image set respectively to obtain a target environmental impact road image matching with the current road image; and step S40: determining current location information of the vehicle to be located based on the target environmental impact road image. Compared with the existing technology which mostly uses high-precision maps produced under sunny day conditions for carrying out vehicle positioning, ignoring positioning errors caused by weather and time periods, by means of the steps above, the mapping effects caused by different environmental factors is fully considered, thereby reducing positioning errors caused by environmental interference and improving vehicle positioning accuracy under different environmental conditions.