Training self-driving vehicle
    1.
    发明专利

    公开(公告)号:GB2574757B

    公开(公告)日:2021-12-29

    申请号:GB201913449

    申请日:2017-12-08

    Applicant: IBM

    Abstract: One or more sensors associated with a vehicle detect a roadway condition of a first roadway and an evasive maneuver is performed by the vehicle to avoid the detected roadway condition. In response to one or more processors determining that the evasive maneuver was successful, a record of the successful maneuver and the roadway condition are stored in a database. Subsequent to storing the record in the database, one or more computers associated with one or more vehicles is trained to execute the evasive maneuver, in response to determining that the one or more vehicles is exposed to the roadway condition experienced by the vehicle.

    Training self-driving vehicle
    2.
    发明专利

    公开(公告)号:GB2574757A

    公开(公告)日:2019-12-18

    申请号:GB201913449

    申请日:2017-12-08

    Applicant: IBM

    Abstract: One or more sensors associated with a vehicle detect a roadway condition of a first roadway and an evasive maneuver is performed by the vehicle to avoid the detected roadway condition. In response to one or more processors determining that the evasive maneuver was successful, a record of the successful maneuver and the roadway condition are stored in a database. Subsequent to storing the record in the database, one or more computers associated with one or more vehicles is trained to execute the evasive maneuver, in response to determining that the one or more vehicles is exposed to the roadway condition experienced by the vehicle.

    Locating picking points of anomalies

    公开(公告)号:GB2602553A

    公开(公告)日:2022-07-06

    申请号:GB202116123

    申请日:2021-11-10

    Applicant: IBM

    Abstract: A method for removing an anomaly 104A, 104B in a collection of material comprises receiving, by a processor, an image 108 of the collection of material having a plurality of objects 106, identifying the anomaly 104A, 104B from the plurality of objects 106, generating a bounding box 110A, 110B for the anomaly 104A, 104B, generating one or more picking points on the anomaly 104A, 104B, the one or more picking points being configured on at least one balance points of the anomaly 104A, 104B and removing the anomaly 104A, 104B from the collection of material based on the one or more picking points preferably via robotic means. The method may further comprise comparing the area of the bounding box 110A, 110B to a threshold area. If the area of the bounding box 110A, 110B is less than a threshold area and the one or more picking points are generated at the center of the bounding box 110A, 110B. If the area of the bounding box 110A, 110B exceeds a threshold area one or more segmentations of the anomaly are computed and analyzed.

    Image defect identification
    4.
    发明专利

    公开(公告)号:GB2600587A

    公开(公告)日:2022-05-04

    申请号:GB202200865

    申请日:2020-06-12

    Applicant: IBM

    Abstract: A method, a device and a computer program product for image processing are proposed. In the method, whether a first image indicates a defect associated with a target object is determined. In response to determining that the first image indicates the defect, a second image absent from the defect is obtained based on the first image. The defect is identified by comparing the first image with the second image. In this way, the defect associated with the target object in the image can be accurately and efficiently identified or segmented.

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