Abstract: In a method for detecting the face of a driver of a motor vehicle having a camera, in order to ensure that an unfavorable posture of the driver or an unfavorable position of the steering wheel or of the driver's seat of the motor vehicle does not prevent recognition of the face using the camera, provision is made that a positioning signal for the steering wheel, for the driver's seat, or for a pedal is generated if the face is not detectable in the image data.

Abstract: A safety device is provided for motorcycle riders, including a safety helmet and a camera device which is situated on the safety helmet, the safety helmet having a facial area in which the face of a user of the safety helmet is situated when used as intended. It is provided that the camera device is situated on the safety helmet in such a way that it at least partially detects the facial area, the camera device being connected to at least one warning device which outputs a warning as a function of data collected by the camera device.

Abstract: A method and an apparatus for lane recognition for a vehicle that is equipped with an adaptive distance and speed control system are provided, the adaptive distance and speed controller having conveyed to it, using an object detection system, the relative speed of detected objects, a variable for determining the lateral offset of the detected objects with respect to the longitudinal vehicle axis, and the speed of the host vehicle. From the relative speed of the objects and the host-vehicle speed, a determination is made as to whether an object is oncoming, stationary, or moving in the same direction as the host vehicle. In combination with the calculated lateral offset of the detected object with respect to the longitudinal vehicle axis, the number of lanes present and the lane currently being traveled in by the host vehicle are determined.

Abstract: A method for determining the plausibility of objects in driver assistance systems of motor vehicles includes the steps of statistically analyzing the lateral offsets (Y) of stationary objects to detect left and right roadway boundaries, analyzing the lateral offsets (Y_H) of moving objects to detect any adjacent lanes, calculating a probability value Q_R that the host vehicle is in the extreme right traffic lane of the roadway and a probability value Q_L that the host vehicle is in the extreme left traffic lane, and varying the width and/or lateral position of the travel route envelope as a function of the probability values Q_R and Q_L.

Abstract: A method and an apparatus for lane recognition for a vehicle that is equipped with an adaptive distance and speed control system are provided, the adaptive distance and speed controller having conveyed to it, using an object detection system, the relative speed of detected objects, a variable for determining the lateral offset of the detected objects with respect to the longitudinal vehicle axis, and the speed of the host vehicle. From the relative speed of the objects and the host-vehicle speed, a determination is made as to whether an object is oncoming, stationary, or moving in the same direction as the host vehicle. In combination with the calculated lateral offset of the detected object with respect to the longitudinal vehicle axis, the number of lanes present and the lane currently being traveled in by the host vehicle are determined.

Abstract: A method and an apparatus for lane recognition for a vehicle that is equipped with an adaptive distance and speed control system are provided, the adaptive distance and speed controller having conveyed to it, using an object detection system, the relative speed of detected objects, a variable for determining the lateral offset of the detected objects with respect to the longitudinal vehicle axis, and the speed of the host vehicle. From the relative speed of the objects and the host-vehicle speed, a determination is made as to whether an object is oncoming, stationary, or moving in the same direction as the host vehicle. In combination with the calculated lateral offset of the detected object with respect to the longitudinal vehicle axis, the number of lanes present and the lane currently being traveled in by the host vehicle are determined.

Abstract: A method for determining the plausibility of objects in driver assistance systems of motor vehicles includes the following steps: statistical analysis of the lateral offsets (Y) of stationary objects to detect left and right roadway boundaries, analysis of the lateral offsets (Y_H) of moving objects to detect any adjacent lanes, calculating a probability value Q_R that the host vehicle is in the extreme right traffic lane of the roadway, and a probability value Q_L that the host vehicle is in the extreme left traffic lane, and varying the width and/or lateral position of the travel route envelope as a function of the probability values Q_R and Q_L.

Abstract: A method and an apparatus for lane recognition for a vehicle that is equipped with an adaptive distance and speed control system are provided, the adaptive distance and speed controller having conveyed to it, using an object detection system, the relative speed of detected objects, a variable for determining the lateral offset of the detected objects with respect to the longitudinal vehicle axis, and the speed of the host vehicle. From the relative speed of the objects and the host-vehicle speed, a determination is made as to whether an object is oncoming, stationary, or moving in the same direction as the host vehicle. In combination with the calculated lateral offset of the detected object with respect to the longitudinal vehicle axis, the number of lanes present and the lane currently being traveled in by the host vehicle are determined.