Abstract: Assistance systems are increasingly being used to assist vehicle drivers when driving their vehicles. To this end, a camera is used to record image data from the area surrounding a vehicle, and at least some of the image data (1) are shown on a display following object identification and image processing. After the image data have been recorded by the camera, they are processed using object identification in order to identify objects (2, 3) in the recorded image data. At least some of the objects (2, 3) which have been identified in this manner are highlighted when showing the image data (1) on the display. In this case, the identified objects (2, 3) are highlighted in such a manner that the image data (1) to be shown are divided into two types of regions. In this case, the first type of region comprises the objects (2, 3) which have been identified and are to be highlighted and a surrounding region (2a, 3a) which respectively directly adjoins the latter in a corresponding manner.

Abstract: A method and a device for detecting road users and obstacles on the basis of camera images, in order to determine their distance from the observer and to classify them. In a two-step classification, potential other parties involved in a collision are detected and identified. In so doing, in a first step, potential other parties involved in a collision are marked in the image data of a mono-image camera; their distance and relative velocity are subsequently determined so that endangering objects can be selectively subjected to a type classification in real time. By breaking down the detection activity into a plurality of steps, the real-time capability of the system is also rendered possible using conventional sensors already present in the vehicle.

Abstract: A method for transforming an input variable having a plurality of binary input positions into an m-position output variable in accordance with a predeterminable transformation specification. The transformation is effected in the form of a plurality of input positions or intermediate positions combined group-wise in parallel and sequential partial transformations with intermediate positions being created according to predeterminable, discrete partial assignment specifications. In addition, an arrangement for transforming an n-position input variable having a plurality of binary input positions into an m-position output variable according to a predeterminable transformation specification in the form of a network.

Abstract: A method and a device for detecting road users and obstacles on the basis of camera images, in order to determine their distance from the observer and to classify them. In a two-step classification, potential other parties involved in a collision are detected and identified. In so doing, in a first step, potential other parties involved in a collision are marked in the image data of a mono-image camera; their distance and relative velocity are subsequently determined so that endangering objects can be selectively subjected to a type classification in real time. By breaking down the detection activity into a plurality of steps, the real-time capability of the system is also rendered possible using conventional sensors already present in the vehicle.