Abstract: The invention relates to a driver assistance system for a motor vehicle, comprising an environment camera for generating image data, which represent the environment of the motor vehicle, and comprising a control and evaluation unit, wherein the control and evaluation unit is designed to evaluate the image data and detect objects in such a way that partially transparent regions are detected in the case of primary objects, in particular primary vehicles, in the environment of the motor 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 device, a sensor arrangement, a system and a method are provided for checking the plausibility of sensor data. The plausibility of the results of processing of sensor data is checked with an independent module by an alternative verification method at each stage, and quality indicators are calculated for the reliability of the calculated data from this plausibility check, which can be taken into account during further processing.

Abstract: An apparatus and a method are for detecting precipitation on a windscreen of a motor vehicle. A camera device records a first image and thereafter a second image. A comparison device produces a first comparison image by comparing the first image with the second image. An image detection device identifies objects on the first comparison image, and determines motion of the objects, to detect whether there is precipitation on the windscreen.

Abstract: The invention relates to a driver assistance system for a motor vehicle, comprising an environment camera for generating image data, which represent the environment of the motor vehicle, and comprising a control and evaluation unit, wherein the control and evaluation unit is designed to evaluate the image data and detect objects in such a way that partially transparent regions are detected in the case of primary objects, in particular primary vehicles, in the environment of the motor vehicle.

Abstract: A device, a sensor arrangement, a system and a method are provided for checking the plausibility of sensor data. The plausibility of the results of processing of sensor data is checked with an independent module by an alternative verification method at each stage, and quality indicators are calculated for the reliability of the calculated data from this plausibility check, which can be taken into account during further processing.

Abstract: The invention relates to an apparatus and a method for detecting precipitation on a windscreen for a motor vehicle, the apparatus comprising a camera device, which is designed such that it records a first image at a first moment and a second image at a second moment following the first moment, a comparison device, which is designed such that it produces a first comparison image by comparing the first image with the second image, and an image detection device, which is designed such that it identifies objects on the first comparison image.

Abstract: A method combines a road sign recognition system and a lane detection system of a motor vehicle. The road sign recognition system generates road sign information from sensor data of a camera-based or video-based sensor system and the lane detection system generates lane course information from the sensor data. Meaning-indicating data for road signs are generated from the lane course information, and are used to check the plausibility of and/or to interpret the road sign information. Data indicating the course of the lane are generated from the road sign information, and are used to check the plausibility of and/or to interpret the lane course information.

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: The invention relates to a method for combining a road sign recognition system (1) and a lane detection system (2) of a motor vehicle, wherein the road sign recognition system (1) generates road sign information from sensor data of a camera-based or video-based sensor system (4) and the lane detection system (2) generates lane course information from said sensor data; according to the invention, meaning-indicating data for road signs are generated from the lane course information, the meaning-indicating data for road signs are used to check the plausibility of and/or to interpret the road sign information, data indicating the course of the lane are generated from the road sign information, and the data indicating the course of the lane are used to check the plausibility of and/or to interpret the lane course information.

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.