Method for calibrating vehicular vision system
First Claim
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1. A method for calibrating a vehicular vision system, said method comprising:
- providing a camera at a vehicle, said camera having a field of view;
capturing images with said camera;
acquiring a set of resultant images for a classification;
extracting information related to image features in the set of resultant images;
determining an appropriate subset of coefficients; and
for each classification, storing a classification vector of at least one appropriate weight that corresponds to the determined subset of coefficients.
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Abstract
A method for calibrating a vehicular vision system includes providing a camera at a vehicle, with the camera having a field of view. Images are captured with the camera and a set of resultant images are acquired for a classification. Information is extracted related to image features in the set of resultant images, and an appropriate subset of coefficients is determined. For each classification, a classification vector of at least one appropriate weight is stored that corresponds to the determined subset of coefficients.
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Citations
20 Claims
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1. A method for calibrating a vehicular vision system, said method comprising:
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providing a camera at a vehicle, said camera having a field of view; capturing images with said camera; acquiring a set of resultant images for a classification; extracting information related to image features in the set of resultant images; determining an appropriate subset of coefficients; and for each classification, storing a classification vector of at least one appropriate weight that corresponds to the determined subset of coefficients. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for calibrating a vehicular vision system, said method comprising:
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providing a camera at a vehicle, said camera having a field of view; capturing images with said camera; acquiring a set of resultant images for a classification; wherein the acquired resultant images comprise images of at least two regions of interest within the field of view of said camera; extracting information related to image features in the set of resultant images; determining an appropriate subset of coefficients; for each classification, storing a classification vector of at least one appropriate weight that corresponds to the determined subset of coefficients; and providing occlusion detection to detect an unacceptable occlusion at least partially occluding the field of view of said camera. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A method for calibrating a vehicular vision system, said method comprising:
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providing a camera at a vehicle, said camera having a field of view; capturing images with said camera; acquiring a set of resultant images for a classification; wherein the set of resultant images comprises images of a region of interest within the field of view of said camera and wherein the region of interest corresponds to the respective classification for that set of resultant images; extracting information related to image features in the set of resultant images; determining an appropriate subset of coefficients; for each classification, storing a classification vector of at least one appropriate weight that corresponds to the determined subset of coefficients; and providing occlusion detection to detect an unacceptable occlusion at least partially occluding the field of view of said camera. - View Dependent Claims (17, 18, 19, 20)
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Specification