公开(公告)号：US20190164271A1

公开(公告)日：2019-05-30

申请号：US16198499

申请日：2018-11-21

Applicant: FICOSA ADAS, S.L.U.

Inventor： Daniel HERCHENBACH ,  Anas MHANA ,  Sebastian CARRENO ,  Robin LEHMANN

IPC: G06T7/00

Abstract: Methods are provided for determining whether an image captured by a capturing device is clean or dirty. These methods include: receiving the image captured by the image capturing device; splitting the received image into a plurality of image portions according to predefined splitting criteria; performing, for each of at least some of the image portions, a Laplacian filter of the image portion to produce a feature vector including Laplacian filter features of the image portion; providing the feature vectors to a first machine learning module that has been trained to produce a clean/dirty indicator depending on corresponding feature vector, the clean/dirty indicator including a probabilistic value of cleanness or dirtiness of corresponding image portion; and determining whether the image is clean or dirty depending on the clean/dirty indicators produced by the first machine learning module. Systems and computer programs suitable for performing such methods are also provided.

公开(公告)号：US20190259178A1

公开(公告)日：2019-08-22

申请号：US16281897

申请日：2019-02-21

Applicant: FICOSA ADAS, S.L.U.

Inventor： David HAFNER ,  Taner GUNGO ,  Sebastian CARRENO

IPC: G06T7/80 ,  G06T7/246

Abstract: A method for calibrating a camera of a vehicle is provided. The method comprises: generating a camera calibration matrix comprising a first, a second and a third column, wherein the first column of the camera calibration matrix is obtained based on the obtained focus of expansion points, the third column of the camera calibration matrix is obtained based on the obtained plane normal vectors and a second column of the camera calibration matrix corresponding to the cross-product of the first and the third column of the camera calibration matrix is obtained. Then, the camera is calibrated using the obtained camera calibration matrix.