发明名称 |
Method and system for classifying painted road markings in an automotive driver vehicle-assistance device |
摘要 |
An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings. |
申请公布号 |
US9361527(B1) |
申请公布日期 |
2016.06.07 |
申请号 |
US201514938287 |
申请日期 |
2015.11.11 |
申请人 |
Tandent Vision Science, Inc. |
发明人 |
Smith Casey Arthur |
分类号 |
G06K9/00;G06T7/40;G06T7/00;G06K9/46;B60R11/04 |
主分类号 |
G06K9/00 |
代理机构 |
Davidson, Davidson & Kappel, LLC |
代理人 |
Davidson, Davidson & Kappel, LLC ;D'Arienzo, Jr. Felix L. |
主权项 |
1. For use in a vehicle, an automated, computerized method for processing an image, comprising the steps of:
receiving from a digital camera mounted on the vehicle, a series of image files, to depict a road video comprising the series of image files, each one of the image files depicting pixels of an image of a scene related to vehicle operation on a road, each one of the pixels having N band color values; for each one of a preselected number of the series of image files: transforming the N bands to log color space values in a log color space; generating a log chromaticity plane in the log color space; identifying a dominant orientation for orienting the log chromaticity plane in the dominant orientation, according to a BIDR model; and calculating a confidence level for the dominant orientation; for each remaining image file of the series of image files: transforming the N bands to log color space values in a log color space; generating a log chromaticity plane in the log color space; and identifying a dominant orientation for orienting the log chromaticity plane in the dominant orientation, according to a BIDR model, by calculating a best current estimate for the dominant orientation as a function of the confidence levels calculated for the preselected number of the series of image files; for each image file: projecting the log color space values to the log chromaticity plane to provide chromaticity representation values corresponding to the pixels of the image; and using the chromaticity representation values corresponding to the pixels to generate an illumination invariant image of the scene. |
地址 |
San Francisco CA US |