Abstract: The invention relates to a device or a method for detecting rain (4), said device or method comprising a camera (1) and a lighting source (3). The camera (1) is disposed behind a pane (2), in particular in the interior of a vehicle behind a windscreen, and focused onto a far range that lies in front of the pane (2). The lighting source (3) for generating at least one light beam (h; n) that is directed at the pane (2) directs the at least one light beam (h; n) towards the pane (2) such that at least one beam (r2; r2?) that is reflected from the outer face (2.2) of the pane impinges on the camera (1). The light quantity of the at least one beam (r2; r2?) that impinges on the camera (1) can be measured by the camera (1).

Abstract: A method for determining at least one threshold value S for distinguishing, in the dark, between reflectors and vehicle lights that are recorded as light spots by a camera sensor oriented towards the surroundings of a vehicle. The camera sensor records a series of images of the surroundings of the vehicle. At least one light spot in the series of images is tracked. When the tracking of a light spot is completed, at least one parameter (for example the maximum intensity Imax of the light spot in the entire series of images, or the lifetime ? of the light spot) is determined from measured values, for example from the intensity of the light spot in each image. The threshold value S is then adapted to the determined parameter/s. The determined parameter value of the light spot is included in a frequency distribution of the parameter values from previously tracked light spots.

Abstract: A method for the automatic light control for a motor vehicle with a camera sensor for monitoring the environment in front of the motor vehicle is presented. With the camera sensor, an image sequence of the motor vehicle environment in front of the motor vehicle is recorded. The lane of the own motor vehicle is estimated from the image data. At least one evaluation window along the lane is set in the image, so that preceding and oncoming motor vehicles are recorded. Points of light in the image sequence are pursued (tracked). On the basis of the image data, the lights of other motor vehicles are detected, and the front headlights are controlled in such a manner that the drivers of other motor vehicles are not blinded.

Abstract: The invention relates to a method for determining a speed of a vehicle (1), whereby at least two images (A, B) of an area surrounding the vehicle are recorded in time succession using a camera on the vehicle (1), and between the images (A, B) changes (2) in a position and/or a size of at least one object (X) contained in the images (X) are determined, and from the changes, a speed of the vehicle (1) is determined relative to the object (X).

Abstract: A method for determining at least one threshold value S for distinguishing, in the dark, between reflectors and vehicle lights that are recorded as light spots by a camera sensor oriented towards the surroundings of a vehicle. The camera sensor records a series of images of the surroundings of the vehicle. At least one light spot in the series of images is tracked. When the tracking of a light spot is completed, at least one parameter (for example the maximum intensity Imax of the light spot in the entire series of images, or the lifetime ? of the light spot) is determined from measured values, for example from the intensity of the light spot in each image. The threshold value S is then adapted to the determined parameter/s. The determined parameter value of the light spot is included in a frequency distribution of the parameter values from previously tracked light spots.

Abstract: A method for the automatic light control for a motor vehicle with a camera sensor for monitoring the environment in front of the motor vehicle is presented. With the camera sensor, an image sequence of the motor vehicle environment in front of the motor vehicle is recorded. The lane of the own motor vehicle is estimated from the image data. At least one evaluation window along the lane is set in the image, so that preceding and oncoming motor vehicles are recorded. Points of light in the image sequence are pursued (tracked). On the basis of the image data, the lights of other motor vehicles are detected, and the front headlights are controlled in such a manner that the drivers of other motor vehicles are not blinded.