Patent Document

FIELD OF THE INVENTION  
         [0001]    The present invention relates to a method and a device for detecting obstruction in image-processing-sensor systems including at least two image sensors.  
         BACKGROUND INFORMATION  
         [0002]    Image sensor systems including at least two image sensors, which record essentially the same scene (so-called stereo camera systems), will be used in the future for object recognition, e.g. within the framework of a driver assistance system. Since the recorded images are evaluated in subsequent systems, the image sensor system has to provide for sure functioning and for ensuring the quality of the images, test its own performance reliability, react when faults appear, and especially inform subsequent systems evaluating the images on the manner of appearing, and possibly the type of the fault. One fault condition, which may impair the performance reliability of the image system or the quality of the images delivered, is the obstruction of the visual range of one of the image sensors by interfering objects. Such cases occur particularly in the field of motor vehicles when, for example, while it is raining, the windshield wiper runs briefly through the camera image or the windshield in front of a camera is dirty. Such an obstruction, for instance, has disturbing effects on a stereoscopic determination of distances to (from) objects.  
         SUMMARY OF THE INVENTION  
         [0003]    Because of the formation of a signal indicating the obstruction of an image sensor in an image sensor system, when there are unacceptable differences in at least one characteristic feature in the images taken by the at least two image sensors, the obstruction of one of the image sensors is detected in an advantageous manner, and is passed on to subsequent systems, if necessary.  
           [0004]    Therefore, in an advantageous manner, the latter systems may react suitably to such an obstruction message, for instance, by fading out the images affected by the obstruction, during a stereoscopic determination of object distances, and by doing without object detection.  
           [0005]    In an advantageous manner, the obstruction is ascertained by measuring the image difference of at least two images of an image sensor system including at least two image sensors. In this context, while measuring the image difference, in an advantageous manner consideration is given to the differences that exist anyway between the images, on account of the different viewing angles of the image sensors. Thus, an abrupt increase of this difference is evaluated, particularly for measuring the image difference.  
           [0006]    Thereby, in an advantageous manner, the image sensor is put in a position of checking an important aspect of its performance reliability itself, and of informing other systems if obstructing faults are present.  
           [0007]    It has shown itself especially advantageous to measure the image difference directly on the basis of gray-scale values of the image, perhaps by determining the pixel differences or by calculating the correlation of the images, or with the aid of differences of secondary image features, such as the histogram of the gray-scale values.  
           [0008]    The use of obstruction detection and obstruction reporting is advantageous not only in stereo camera systems in motor vehicles, but in all image sensor configurations in which two or more image sensors image the same scene, both within the field of motor vehicle technology and outside of it. 
       
    
    
     BRIEF DESCRIPTION OF THE DRAWING  
       [0009]    The Figure shows an overview sketch of a stereo camera system having an evaluation unit designed to form a signal indicating the obstruction of one of the cameras.  
     
    
     DETAILED DESCRIPTION  
       [0010]    [0010]FIG. 1 shows a general view of a stereo camera system having a first camera  1  and a second camera  2 . Both cameras are positioned in such a way that they image the same scene, but at a slightly different viewing angle. Thus, both cameras ascertain images of the observed scene which they deliver via data lines  3  and  4  to an evaluation unit  5 . Evaluation unit  5  is made up of several modules which, in the preferred exemplary embodiment, are designed as programs of a microprocessor or a plurality of microprocessors. For the detection of obstruction, each camera is provided with associated feature determining modules  6  and  7 , respectively, which ascertain at least one typical feature of the delivered image in each case. A comparison module  8  compares this at least one feature of the two images. If there are unacceptable deviations, if, in particular, the difference existing anyhow changes abruptly or if the deviation exceeds a predefined threshold, a fault signal is generated which is passed on to subsequent systems via data line  9 . In one exemplary embodiment, a delay element  10  is provided which generates a fault signal for other systems only when a certain number of comparing operations ascertain unacceptable differences between the two images, or if this result occurs with a certain frequency (in the evaluation of sudden changes, when the change remains present over a certain length of time).  
         [0011]    Depending on the exemplary embodiment, primary or secondary image features are available as image features. An example of a primary image feature would be the comparison of the gray-scale values of individual pixels, a fault being detected when the difference in the gray-scale values in one or a predefined number of pixels changes abruptly, or when the difference exceeds a predefined threshold value. Furthermore, the image difference may be ascertained by the determination of the correlation function of the images, an obstruction fault being detected in the case of a missing correlation, i.e. a corresponding pattern of the correlation function. This situation is determined with the aid of the magnitude and/or the form of the correlation function. Secondary image features involve particularly the histograms of the gray-scale values of the two images, from which the fault signal is derived within the framework of the comparison operation, in the case of unacceptable differences.  
         [0012]    In this context, for instance, an abrupt change in the center of gravity of the histogram or in its shape, or the subsequently described feature vectors are evaluated.  
         [0013]    In the embodiment shown in the Figure, the measurement of the image difference is performed via an extraction of image features. These image features are either the histograms of the gray-scale values of each respective image, or even a list of detected objects. The feature vectors obtained (list of the objects, list of the gray-scale frequency, etc.) are then compared to one another in the comparing module and characterized by a measure of the difference. This measure of the difference is, in the simplest case, a distance measure between the two feature vectors or the scalar product of the two vectors. If this measure of difference of both image vectors and feature vectors exceeds a predefined threshold value which takes into consideration the image differences because of the different visual angles of the image sensors, an obstruction is detected. This detection is passed on, in a suitable manner, to the subsequent systems by the use of the generated signals together with the images.  
         [0014]    A typical situation in which obstruction is detected is the obstruction of one of the two cameras by a sufficiently large object. In this case, the image sensor system, or the image sensor system included in an overall system, signalizes a corresponding fault.  
         [0015]    The procedure described is not limited to the use of image sensor systems made up of two image sensors in a motor vehicle. Rather, the procedure described, having the corresponding features, may also be used outside motor vehicle technology, and for systems having more than two cameras, in which the comparing of the images of each individual camera among one another is carried out. The assumption is only that the image sensors used record the same scene.

Technology Category: 5