SYSTEM AND METHOD FOR EVALUATING THE PERFORMANCE OF A VEHICLE WINDSHIELD/WIPER COMBINATION

• US 20140270391A1
• Filed: 03/13/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Glasstech Incorporated
• Original Assignee: Glasstech Incorporated
• Inventors: ADDINGTON, Jason C.
• Granted Patent: US 9,250,067 B2
• Time in Patent Office: Days
• US Class Current: 382/108
• CPC Class Codes: G01B 11/303 using photoelectric detection means
• CPC Class Codes: G06T 2207/20056 Discrete and fast Fourier transform, [DFT, FFT]
• CPC Class Codes: G06T 2207/30252 Vehicle exterior; Vicinity of vehicle
• CPC Class Codes: G06T 7/001 using an image reference approach

Abstract

A system and method for evaluating the performance of a vehicle windshield wiper system includes a digital camera positioned to allow the camera to capture an image of the surface of the windshield, and a computer including logic for capturing a digital image of the surface of the soiled windshield, capturing a digital image of the surface of the wiped windshield, and comparing the data from both captured images to develop selected indicia related to the extent to which the soil has been removed from the windshield.

Claims

1. A method for evaluating the performance of a vehicle windshield wiper mounted in an operational position on a soiled windshield, the method including:

capturing a digital image of the surface of the soiled windshield,

operating the windshield wiper,

capturing a digital image of the surface of the wiped windshield,

comparing the data from both captured images to develop selected indicia related to the extent to which the soil has been removed from the windshield.

2. The method of claim 1 wherein the comparing step includes developing an intensity map for each of the acquired images from the image data associated with the acquired images, and wherein the comparing step includes subtracting the intensity map of the first acquired image from the second acquired image.

3. The method of claim 2 wherein each intensity map is developed from the image data for each image by developing a Fourier transform of the captured image data, de-modulating the Fourier transform, developing an inverse Fourier transform of the de-modulated data, yielding a two-dimensional complex number associated with each pixel, said complex number having a phase component and a magnitude component, and developing an intensity map of the inverse Fourier transform by determining the square root of the sum of the squares of the imaginary portion of the two-dimensional complex number and the real portion of the two-dimensional complex number for each point of interest in the image.

4. A system for evaluating the performance of a vehicle windshield wiper mounted in an operational position on a soiled windshield, the method including:

a digital camera positioned to allow the camera to capture an image of the surface of the windshield, and

a computer including logic for capturing a digital image of the surface of the soiled windshield, capturing a digital image of the surface of the wiped windshield, and comparing the data from both captured images to develop selected indicia related to the extent to which the soil has been removed from the windshield.

5. The system of claim 4 wherein the computer includes logic for developing an intensity map from the image data associated with the acquired images, and wherein the logic for comparing the data from the captured images includes logic for subtracting the intensity map of the first acquired image from the second acquired image.

6. The system of claim 5 wherein the logic for developing an intensity map from the image data associated with the acquired images includes logic for developing a Fourier transform of the captured image data, de-modulating the Fourier transform, developing an inverse Fourier transform of the de-modulated data, yielding a two-dimensional complex number associated with each pixel, said complex number having a phase component and a magnitude component, and developing an intensity map of the inverse Fourier transform by determining the square root of the sum of the squares of the imaginary portion of the two-dimensional complex number and the real portion of the two-dimensional complex number for each point of interest in the image.