Abstract: A method for determining the course of the road for a moving motor vehicle having a surroundings sensor system. Sensor data generated by the surroundings sensor system are evaluated to detect lane-relevant features. A lane model having at least one lane model parameter that determines the course of the lane is generated for the road, structures of at least one distance range that are parallel to the road are detected in the sensor data, the tangential direction of at least the one structure that is parallel to the road is determined, and the value of the tangential direction of the structure that is parallel to the road is adopted as the value of the direction of the tangent line at the point of contact with the structure that is parallel to the road to determine at least the one lane model parameter by predictive estimation in the lane model.

Abstract: To support a driver in guiding a road vehicle, the lane markings of the road, traffic signs and/or vehicle license plates are detected by an environment sensor system, which produces corresponding image data, which is evaluated by an image evaluation system by comparison to stored country-specific data. From that evaluation, at least one country estimation signal is generated in an image processor, and then a country signal indicating the current location of the vehicle is generated from the at least one country estimation signal by a microprocessor. The country signal correspondingly activates a driver information device outputting country-specific information for guidance of the vehicle and/or the country signal is fed to a driver assistance system that supports the guidance of the vehicle.

Abstract: A method for determining the course of the road for a moving motor vehicle having a surroundings sensor system. Sensor data generated by the surroundings sensor system are evaluated to detect lane-relevant features. A lane model having at least one lane model parameter that determines the course of the lane is generated for the road, structures of at least one distance range that are parallel to the road are detected in the sensor data, the tangential direction of at least the one structure that is parallel to the road is determined, and the value of the tangential direction of the structure that is parallel to the road is adopted as the value of the direction of the tangent line at the point of contact with the structure that is parallel to the road to determine at least the one lane model parameter by predictive estimation in the lane model.

Abstract: A fixed pattern noise of an image converter is automatically determined. A first optical image is converted using the image converter into digital image data, the light level of the first optical image is determined, the light level of the first optical image is compared with a threshold value, and the image converter characteristics of the image converter are reset to a dark image setting in such a way that the image data generated over the photosensitive imaging surface of the image converter at constant distribution of the determined light level include no component produced by the light level. Immediately thereafter, using the dark image setting previously set, a first dark image is recorded.

Abstract: The invention relates to a method for supporting the driver of a road-bound vehicle in guiding the vehicle, in which the vehicle environment, in particular the markings that delimit the lanes of a road and traffic signs, are detected by means of an environment sensor system (1) and evaluated by means of an image evaluation system.

Abstract: A method for matching the sensitivity characteristic of an image converter to the light-intensity distribution of an optical image which is projected onto the photosensitive surface of the image converter. There are provided steps for creating a frequency distribution of the image signal values in the optical image converted by the image converter, for determining one or more quantiles of the frequency distribution of the image signal values, and for creating a adapted parameter set of setting values of the image converter on the basis of the specific quantile or quantiles of the frequency distribution.

Abstract: A fixed pattern noise of an image converter is automatically determined. A first optical image is converted using the image converter into digital image data, the light level of the first optical image is determined, the light level of the first optical image is compared with a threshold value, and the image converter characteristics of the image converter are reset to a dark image setting in such a way that the image data generated over the photosensitive imaging surface of the image converter at constant distribution of the determined light level include no component produced by the light level. Immediately thereafter, using the dark image setting previously set, a first dark image is recorded.