Vehicle rain sensor

• US 6,392,218 B1
• Filed: 04/07/2000
• Issued: 05/21/2002
• Est. Priority Date: 04/07/2000
• Status: Expired due to Term

• Current Assignee: Bendix Commercial Vehicle Systems LLC (Estate of Heinz Hermann Thiele)
• Original Assignee: Iteris Incorporated
• Inventors: Kuehnle, Andreas U.
• Primary Examiner(s): ALLEN, STEPHONE B
• Application Number:
  US09/545,715
• Time in Patent Office: 774 Days
• Field of Search: 250/208.1, 280/734, 280/735, 348/148, 340/815.4, 318/483, 318/485
• US Class Current: 250/208.1
• CPC Class Codes: B60S 1/0822 characterized by the arrangement or type of detection means
• CPC Class Codes: B60S 1/0844 including a camera
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

An apparatus and a method for detecting moisture, such as rain on a vehicle, wherein a sensor acquires an optical image from a region of interest and produces the data to a microprocessor, the microprocessor processes the acquired optical image and selects an algorithm to evaluate the acquired optical image in order to determine whether sufficient moisture exists on the vehicle to warrant action such as activating windshield wipers.

Claims

1. A moisture sensor for detecting moisture on a vehicle windshield, said sensor comprising:

a housing;

microprocessor circuitry dispensed within said housing; and

an optical image detector connected to said microprocessor circuitry, said optical image detector capable of digitizing and transferring video frames of the windshield and a background scene viewed through the windshield to said microprocessor circuitry, wherein said microprocessor circuitry processes said video frames to select a portion of the video frame, corresponding to a predetermined portion of the background for moisture detection processing.

2. The sensor of claim 1, further comprising a communication bus, said communication bus connected between said microprocessor circuitry and said vehicle.

3. The sensor of claim 1, wherein said optical image detector is a digital camera.

4. The moisture sensor of claim 1, wherein said selected portion of the video frame comprises the vehicle hood.

5. The moisture sensor of claim 4, wherein the vehicle hood is selected during daylight.

6. The moisture sensor of claim 1, wherein said selected portion of the video frame comprises the road ahead of the vehicle.

7. The moisture sensor of claim 6, wherein the road ahead of the vehicle is selected during nighttime.

8. A moisture sensor for detecting moisture on a vehicle windshield, said sensor comprising:

an optical image detector, said optical image detector capable of digitizing and transferring video frames of the vehicle windshield and a background scene viewed through the windshield; and

circuitry connected to said optical image detector, comprising;

means for acquiring an optical image from a region of interest;

means for determining the brightness of ambient lighting surrounding the vehicle;

means for selecting a daylight processing algorithm based on an ambient lighting corresponding to daylight or a nighttime processing algorithm based on an ambient lighting corresponding to nighttime;

means for processing the acquired optical image using the selected algorithm to determine the presence of moisture on the vehicle windshield.

9. A method of detecting moisture on a vehicle windshield, said method comprising:

acquiring an optical image from a region of interest including an image of the vehicle windshield;

determining the brightness of ambient lighting surrounding the vehicle;

selecting a daylight processing algorithm based on an ambient lighting corresponding to daylight or a nighttime processing algorithm based on an ambient lighting corresponding to nighttime; and

processing the acquired optical image using the selected algorithm to determine the presence of moisture on the vehicle windshield.

10. The method of claim 9, further comprising sending a signal to said vehicle, said signal causing activation of a windshield wiper of said vehicle.

11. The method of claim 9, wherein said nighttime processing algorithm comprises the step of measuring an average value of the square of differences between adjacent pixels of said optical image.

12. The method of claim 9, wherein said daytime or nighttime processing algorithm comprises measuring anyone of a correlation of adjacent pixels of said optical image, a contrast of gray scale levels within said optical image, a brightness dispersion of said optical image, a color variance of said optical image, an average strength of edges of images within said optical image, a standardized block variance of said optical image, a block pixel variation of said optical image, and an aberration in said optical image.

14. The method of claim 9, wherein said daylight processing algorithm comprises measuring an average value of image complexity of said optical image.

15. The method of claim 14, wherein said measuring an average value of image complexity includes measuring the approximate bandwidth of a signal from said optical image.

16. The method of claim 14, wherein said measuring an average value of image complexity includes measuring the bit information of a pixel of said optical image.

17. A method of detecting moisture on a vehicle windshield, said method comprising:

acquiring an optical image from a region of interest including at least a portion of the windshield and a portion of a background image viewed through the windshield;

measuring the brightness values of pixels of said optical image;

calculating the average difference of brightness between adjacent pixels of said optical image; and

calculating the average image complexity of pixels of said optical image.

13. The method of claim 19, further comprising ignoring a portion of said optical image if a windshield wiper of said vehicle is physically moving.

18. The method of claim 17, further comprising sending a signal that causes a windshield wiper of said vehicle to activate.

19. The method of claim 17, further comprising sending a signal that disables a windshield wiper of said vehicle.

20. The method of claim 17, wherein measuring the brightness values of each pixel is performed only when a windshield wiper of said vehicle is in a rest position.

21. The method of claim 20, further comprising measuring a baseline value of average differences between said adjacent pixels of said optical image.

22. A method of detecting moisture on a vehicle windshield, said method comprising:

acquiring an optical image including the windshield and an image viewed through the windshield, including a background image and a region of interest;

removing the background image of said optical image; and

performing image processing to detect moisture on the windshield using the image with the background removed.

23. The method of claim 22, wherein said step of removing background image comprises:

measuring an edge contrast of said optical image; and

separating a moving background image from stationary images.

24. A method of detecting moisture on a vehicle windshield, said method comprising:

acquiring an optical image from a region of interest including at least a portion of the windshield and a background image viewed through the windshield;

measuring the brightness values of pixels of said optical image;

calculating the average image complexity of pixels of said optical image;

calculating an additional image feature; and

determining if moisture is present on the vehicle windshield employing the image complexity and said additional feature.

25. The method of claim 24, wherein measuring an average value of image complexity includes measuring the approximate bandwidth of a signal from said optical image.

26. The method of claim 24, wherein calculating an additional image feature comprises measuring anyone of a correlation of adjacent pixels of said optical image, a contrast of gray scale levels within said optical image, a brightness dispersion of said optical image, a color variance of said optical image, an average strength of edges of images within said optical image, a standardized block variance of said optical image, a block pixel variation of said optical image, and an aberration in said optical image.

27. A method of detecting moisture on a vehicle windshield, said method comprising:

acquiring an optical image from a region of interest including at least a portion of the windshield and a background image viewed through the windshield;

measuring the brightness values of pixels of said optical image;

calculating the run length statistics of brightness of pixels of said optical image;

calculating an additional image feature; and

determining if moisture is present on the vehicle windshield employing the run length statistics of pixel brightness and said additional feature.

28. The method of claim 27, wherein measuring an average value of image complexity includes measuring the approximate bandwidth of a signal from said optical image.

29. The method of claim 27, wherein calculating an additional image feature comprises measuring anyone of a correlation of adjacent pixels of said optical image, a contrast of gray scale levels within said optical image, a brightness dispersion of said optical image, a color variance of said optical image, an average strength of edges of images within said optical image, a standardized block variance of said optical image, a block pixel variation of said optical image, and an aberration in said optical image.