Method for evaluating image data of a vehicle camera taking into account information about rain
First Claim
Patent Images
1. A method comprising steps:
- a) with a camera in a vehicle, producing first image data representing an object in outside surroundings of the vehicle and second image data representing precipitation particles on an area of a windshield of the vehicle;
b) evaluating the second image data to determine precipitation particle information including a number and/or a size of the precipitation particles on the area of the windshield; and
c) evaluating the first image data by applying at least one evaluation algorithm comprising an edge detection algorithm with at least one evaluation parameter to detect and classify the object, wherein the evaluation parameter comprises an edge detection threshold value for determining which ones of image transitions in the first image data are regarded as edges, and selecting or changing the edge detection threshold value in response to and dependent on the precipitation particle information.
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Abstract
In a method for evaluating image data of a vehicle camera, information about raindrops on the vehicle'"'"'s windshield within the field of view of the camera is taken into account in the evaluation of the image data for detection and classification of objects in the environment of the vehicle. Particularly, for example, depending on the number and the size of the raindrops on the windshield, different detection algorithms, image evaluation criteria, classification parameters, or classification algorithms are used for the detection and classification of objects.
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Citations
10 Claims
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1. A method comprising steps:
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a) with a camera in a vehicle, producing first image data representing an object in outside surroundings of the vehicle and second image data representing precipitation particles on an area of a windshield of the vehicle; b) evaluating the second image data to determine precipitation particle information including a number and/or a size of the precipitation particles on the area of the windshield; and c) evaluating the first image data by applying at least one evaluation algorithm comprising an edge detection algorithm with at least one evaluation parameter to detect and classify the object, wherein the evaluation parameter comprises an edge detection threshold value for determining which ones of image transitions in the first image data are regarded as edges, and selecting or changing the edge detection threshold value in response to and dependent on the precipitation particle information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method comprising steps:
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a) with a camera in a vehicle, producing first image data representing an object in outside surroundings of the vehicle and second image data representing precipitation particles on an area of a windshield of the vehicle; b) evaluating the second image data to determine precipitation particle information including a number and/or a size of the precipitation particles on the area of the windshield; and c) evaluating the first image data at least by gathering color information from the first image data to detect and classify the object, and changing the gathering of the color information in response to and dependent on the precipitation particle information.
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Specification