Abstract: Methods are provided for detecting correct or incorrect operation of a display panel (e.g. LED or OLED) during display of a video signal, the display panel being associable with a controller system. The method comprises: adding, by the controller system, a dynamic pattern into the video signal for inducing the display panel to display the video signal with the added dynamic pattern substantially imperceptible to human vision, and to provoke an expected power consumption evolution during the display of the video signal with the added dynamic pattern; measuring, by the controller system, power consumed by the display panel during the display of the video signal with the added dynamic pattern to determine an actual power consumption evolution; and determining, by the controller system, whether the actual power consumption evolution corresponds to the expected power consumption evolution. Controller systems and computer programs suitable for performing such detection methods are also provided.

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.

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.

Abstract: Methods are provided for detecting correct or incorrect operation of a display panel (e.g. LED or OLED) during display of a video signal, the display panel being associable with a controller system. The method comprises: adding, by the controller system, a dynamic pattern into the video signal for inducing the display panel to display the video signal with the added dynamic pattern substantially imperceptible to human vision, and to provoke an expected power consumption evolution during the display of the video signal with the added dynamic pattern; measuring, by the controller system, power consumed by the display panel during the display of the video signal with the added dynamic pattern to determine an actual power consumption evolution; and determining, by the controller system, whether the actual power consumption evolution corresponds to the expected power consumption evolution. Controller systems and computer programs suitable for performing such detection methods are also provided.