Abstract: A method for detecting imaging degradation of an imaging sensor includes (i) providing an image of a surrounding area, said image being generated by the imaging sensor; (ii) detecting imaging degradation for each sub-image of a plurality of sub-images of the image using a neural network trained for this purpose; and (iii) detecting the imaging degradation of the sensor, said imaging degradation exhibiting the ratio of the number of sub-images of the image with detected degradation to the plurality of sub-images.

Abstract: A method for detecting a lane for a driver assistance system. The method includes an arranging step in which a grid is arranged over a camera image from a vehicle camera, the camera image displaying a roadway. In a displaying step, a lane candidate is displayed using at least one parameter and/or a confidence value for the lane candidate when the at least one lane candidate is detected in at least one cell of the grid. In a filtering-out step, the lane candidate is filtered out when the confidence value of the lane candidate is below a defined confidence threshold. In a back-transforming step, the lane candidate is transformed back to a fixed number of keypoints per lane candidate when the confidence value of the lane candidate is above the confidence threshold, to obtain the lane. In a determining step, 3D coordinates for the lane are determined using the keypoints.

Abstract: A method for detecting a lane for a driver assistance system. The method includes an arranging step in which a grid is arranged over a camera image from a vehicle camera, the camera image displaying a roadway. In a displaying step, a lane candidate is displayed using at least one parameter and/or a confidence value for the lane candidate when the at least one lane candidate is detected in at least one cell of the grid. In a filtering-out step, the lane candidate is filtered out when the confidence value of the lane candidate is below a defined confidence threshold. In a back-transforming step, the lane candidate is transformed back to a fixed number of keypoints per lane candidate when the confidence value of the lane candidate is above the confidence threshold, to obtain the lane. In a determining step, 3D coordinates for the lane are determined using the keypoints.

Abstract: A method for detecting imaging degradation of an imaging sensor includes (i) providing an image of a surrounding area, said image being generated by the imaging sensor; (ii) detecting imaging degradation for each sub-image of a plurality of sub-images of the image using a neural network trained for this purpose; and (iii) detecting the imaging degradation of the sensor, said imaging degradation exhibiting the ratio of the number of sub-images of the image with detected degradation to the plurality of sub-images.