摘要:
Camera for identifying soiling on a protective screen. The camera is focused on a scene behind the protective screen and can be used to identify soiling and for other applications, e.g. to identify driving lanes and/or to identify objects. Soiling is identified merely by evaluating frames recorded in succession, artificial reference frames or reference objects are not required. A prerequisite for a successful measurement is that the relative speed vrel of the camera and of at least one recorded object in the surroundings is not equal to zero and its trajectory is predicted in the depiction. By comparing the relevant frame sections, possible soiling on subregions of the protective screen is identified.
摘要:
The invention relates to a method for the calibration of yaw rate measurement in a motor vehicle, wherein the motor vehicle features at least one device for determining the yaw rate, a camera system which is in the forward-position, and, if applicable, a steering angle sensor. At least one initial calibration is carried out at a standstill and at least one second calibration is carried out when the motor vehicle is moving.
摘要:
A camera for identifying soiling on a protective screen, such as a vehicle windscreen, is focused on a scene through the protective screen and can be used to identify soiling and for other applications, e.g. to identify driving lanes and/or objects in the scene. Soiling is identified merely by evaluating successively recorded image frames, and artificial reference frames or reference objects are not required. A prerequisite is that the relative speed vrel between the camera and at least one recorded object in the scene is not equal to zero and its trajectory in the image is predicted. By comparing the relevant image frame sections, possible soiling on subregions of the protective screen is identified.
摘要:
In a method for the calibration of a yaw rate measurement in a motor vehicle, the motor vehicle features at least one device for determining the yaw rate, a camera system which is oriented in the forward direction, and, if applicable, a steering angle sensor or a lateral acceleration sensor. At least one initial calibration is carried out at a standstill and at least one second calibration is carried out when the motor vehicle is moving. The second calibration uses image data of the camera system, which detects the environment in front of the motor vehicle, to predict the course of the roadway lane on which the vehicle is driving, from which the yaw rate is estimated.
摘要:
The invention relates to a driver assistance system for a motor vehicle including a camera for detecting roadway marking. According to the invention a device is provided for detecting a parked or stopped mode of the vehicle. Furthermore, a control device receives image data of the surroundings of the vehicle from the camera in the parked or stopped mode and analyzes the image data with respect to roadway markings which indicate no-parking and/or no-stopping spots, wherein the control device controls a signaling device such that the signaling device outputs a warning message in the event that a roadway marking indicating a no-parking spot or a no-stopping spot is detected in the surroundings of the stopped or parked vehicle.
摘要:
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. According to the invention, the image data of the environment sensor system (1) are evaluated with regard to lane-relevant information, wherein the detected lane-relevant information is evaluated by means of data that are stored in a memory device (2a) and that indicate country-specific lane markings, and a first country estimation signal (S1) corresponding to the current location of the vehicle is generated, and/or the image data of the environment sensor system (1) are evaluated with regard to traffic-sign-relevant information, wherein the detected traffic-sign-relevant information is evaluated by means of data that are stored in a memory device (3a) and that indicate country-specific traffic signs, and a country estimation signal (S2) corresponding to the current location of the vehicle is generated, and/or the image data of the environment sensor system (1) are evaluated with regard to the recognition of license plates of motor vehicles (4) and a country estimation signal (S3) is generated by means of an analysis by frequency. A country signal (L) that indicates the current location of the vehicle is generated from one country estimation signal (S1, S2, S3) or from several country estimation signals (S1, S2, S3) by means of a microprocessor (5), wherein a driver information device (6) for outputting country-specific information regarding the longitudinal and transverse guidance of the vehicle is activated by means of the country signal (L) and/or the country signal (L) is fed to at least one driver assistance system (7) that supports the longitudinal and/or transverse guidance of the vehicle. The invention further relates to a device for performing the inventive method.
摘要:
The invention relates to a method for traffic sign recognition that analyzes and classifies the image data of a sensor (1) in an information processing unit, wherein at least one image detail (10) that sufficiently probably contains an object that is a traffic sign belonging to a particular class of traffic signs is determined on the basis of the results of an analysis in a first procedure step, and this image detail (10) is submitted, in a second procedure step, to a classificator (5) that recognizes a traffic sign belonging to the particular class on the basis of the selected image detail (10) by means of a learning-based algorithm; according to the invention a class-specific feature (11) is identified in the image detail (10) in the first procedure step, a modified image detail (12) with the class-specific feature (11) in the image center thereof is generated, wherein the image regions (13, 14, 15) created by shifting the class-specific feature (11) to the image center are padded with suitable pixels, and the modified image detail (12) is submitted to the classificator (5).
摘要:
A method of detecting a roadway edge and/or a traffic lane on a roadway includes: acquiring at least one image of surroundings of a vehicle with a camera; detecting a driving corridor from the at least one image; and performing a structure detection on the at least one image while taking the determined driving corridor into consideration in order to determine a course of a roadway edge from the at least one image.
摘要:
For recognizing traffic signs that include a main sign and an associated additional sign, a method involves using a camera to record image data of an environment outside a vehicle, evaluating the image data to detect the presence and the class of the main sign and to detect the presence and partially classify the content of the additional sign by pattern recognition, performing text recognition to read and interpret text of the additional sign, and comparing the recognized text with actual current situational information to determine whether the main sign is currently applicable.
摘要:
A traffic sign recognition method analyzes and classifies image data of a sensor in an information processing unit. The image data is analyzed to select an image portion judged to contain a traffic sign of a particular sign class. A class-specific feature is identified in the image portion. A modified image portion is created, in which the class-specific feature has been shifted to a center of the modified image portion. Then the modified image portion is evaluated by a learning-based algorithm to recognize the traffic sign of the particular sign class.