Method and system for weather condition detection with image-based road characterization
First Claim
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1. A method for image-based weather condition detection, using image processing methods in moving vehicles comprising a driving assistant system, the method comprising:
- detecting road weather conditions by;
identifying a group of bright pixels in video images produced by an image-based road characterization, anddetermining whether said bright pixels are caused by reflections due to one selected from a group consisting of rainfall, snowfall, a wet surface, or a snowy surface,wherein falling snow is detected by a proximity of the group of bright pixels to each other, and wherein the proximity is evaluated using a histogram of nearest distances between bright pixels,wherein the proximity of the group of bright pixels is evaluated by calculating which fraction of bright pixels of a total number of bright pixels is near enough to another bright pixel to qualify as road markings, wherein;
a ratio of
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Abstract
A method for image-based weather condition detection, using image processing methods in moving vehicles, is described. The method includes detecting road weather conditions by identifying a group of bright pixels in video images produced by an image-based road characterization, and determining whether the bright pixels are caused by reflections due to one of rainfall, snowfall, a wet surface, or a snowy surface, where a driving assistant system includes a lane-keeping system.
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Citations
14 Claims
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1. A method for image-based weather condition detection, using image processing methods in moving vehicles comprising a driving assistant system, the method comprising:
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detecting road weather conditions by; identifying a group of bright pixels in video images produced by an image-based road characterization, and determining whether said bright pixels are caused by reflections due to one selected from a group consisting of rainfall, snowfall, a wet surface, or a snowy surface, wherein falling snow is detected by a proximity of the group of bright pixels to each other, and wherein the proximity is evaluated using a histogram of nearest distances between bright pixels, wherein the proximity of the group of bright pixels is evaluated by calculating which fraction of bright pixels of a total number of bright pixels is near enough to another bright pixel to qualify as road markings, wherein; a ratio of - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for road weather condition detection with an image processing apparatus in a moving vehicle comprising a driving assistant system with a lane-keeping system, comprising:
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an electronic camera contained in the image processing apparatus for a video-based detection of the road, wherein the electronic camera is configured to capture scenes in front of the moving vehicle; and a computer-based electronic circuit configured to evaluate a group of pixels in the video images to determine whether bright pixels are caused by reflections of one selected from a group consisting of rainfall, snowfall, a wet surface, or a snowy surface, wherein falling snow is detected by a proximity of the group of bright pixels to each other, and wherein the proximity is evaluated using a histogram of nearest distances between bright pixels wherein the proximity of the group of bright pixels is evaluated by calculating which fraction of bright pixels of a total number of bright pixels is near enough to another bright pixel to qualify as road markings, wherein; a ratio of Number of bright pixels near enough to another bright pixel Number of bright pixels total close to a value of 1.0 indicates that the group of bright pixels have nearby neighbors and are a part of road markings, and wherein the ratio close to a value of 0.0 indicates none of the group of bright pixels have nearby neighbors and are a result of snow.
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Specification