IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0316511
(2002-12-11)
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§371/§102 date |
20030331
(20030331)
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발명자
/ 주소 |
- Stam, Joseph S.
- Bechtel, Jon H.
- Reese, Spencer D.
- Roberts, John K.
- Tonar, William L.
- Poe, G. Bruce
- Newhouse, Douglas J.
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출원인 / 주소 |
|
대리인 / 주소 |
Price, Heneveld, Cooper, DeWitt &
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인용정보 |
피인용 횟수 :
194 인용 특허 :
59 |
초록
▼
A system and method of automatically controlling exterior vehicle lights includes an image sensor and a controller to generate control signals. The control signals are derived based on information obtained from the image sensor as well as other detected parameters pertaining to the detected light so
A system and method of automatically controlling exterior vehicle lights includes an image sensor and a controller to generate control signals. The control signals are derived based on information obtained from the image sensor as well as other detected parameters pertaining to the detected light source(s), the vehicle having the inventive control system, and the ambient environment. The control circuit may simply turn certain exterior lights on or off, or change the brightness, aim, focus, etc. to produce various beam patterns that maximize the illuminated area in front of the vehicle without causing excessive glare in the eyes of other drivers.
대표청구항
▼
1. An automatic vehicle exterior light control, comprising:a controller configured to receive at least one image and to identify at least one object within said at least one image, said controller is further configured to generate an object list history; wherein, said object list history includes at
1. An automatic vehicle exterior light control, comprising:a controller configured to receive at least one image and to identify at least one object within said at least one image, said controller is further configured to generate an object list history; wherein, said object list history includes at least one object characteristic selected from the group comprising: an x-coordinate of at least one pixel within the object; a y-coordinate of at least one pixel within the object; a sum of grayscale values of all object pixels; a total number of object pixels; a grayscale value of object brightest pixel; a brightness ratio between red filtered and non-red filtered object; an average object grayscale value; an object width; an object height; and at least one object sensitivity. 2. An automatic vehicle exterior light control as in claim 1 wherein said controller is further configured to generate at least one exterior light control signal as a function of said object list history.3. An automatic vehicle exterior light control as in claim 1 wherein said controller is configured to receive a plurality of images, said controller is further configured to delete said at least one object characteristic from said object list history when said object is determined to be absent in a subsequent image.4. An automatic vehicle exterior light control as in claim 1 wherein said controller is configured to receive a plurality of images, said controller is further configured to update said at least one object characteristic of at least one object subsequent to analyzing each image so long as said at least one object is determined to be present in a subsequent image.5. An automatic vehicle exterior light control as in claim 3 wherein said controller is further configured to delete said at least one object characteristic from said object list history when said object is determined to be absent in a subsequent image.6. An automatic vehicle exterior light control as in claim 1 wherein said controller is configured to receive a plurality of images, said controller is further configured to compute a direction that at least one object travels within a series of images, said controller is further configured to generate at least one exterior light control signal as a function of said direction.7. An automatic vehicle exterior light control as in claim 6 wherein said direction is added to said object list history.8. An automatic vehicle exterior light control as in claim 1 wherein said controller is configured to receive a plurality of images, said controller is further configured to compute a distance that at least one object travels within a series of images, said controller is further configured to generate at least one exterior light control signal as a function of said distance.9. An automatic vehicle exterior light control as in claim 8 wherein said distance is added to said object list history.10. An automatic vehicle exterior light control as in claim 1 wherein said controller is configured to receive a plurality of images and to identify at least one object that appears in a series of images, said controller is further configured to generate an object index.11. An automatic vehicle exterior light control, comprising:a controller configured to receive at least one image, said controller is further configured to analyze said at least one image using a seed fill algorithm and to generate at least one exterior light control signal as a function of said analysis. 12. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify at least one object within said at least one image.13. An automatic vehicle exterior light control as in claim 11 wherein said seed fill algorithm is recursive.14. An automatic vehicle exterior light control as in claim 13 wherein said controller is further configured to identify at least one object within said at least one image.15. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify an x-coordinate of at least one pixel within said at least one object.16. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify a y-coordinate of at least one pixel within said at least one object.17. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify a sum of grayscale values of substantially all pixels within said at least one object.18. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify a total number of pixels within said at least one object.19. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify a grayscale value of a brightest pixel within said at least one object.20. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify a width of said at least one object.21. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify a height of said at least one object.22. An automatic vehicle exterior light control as in claim 11 wherein said controller is further configured to identify at least one sensitivity associated with said at least one object selected from the group comprising an integration period, a threshold and a gain.23. An automatic vehicle exterior light control, comprising:a controller configured to receive at least one red spectrally filtered image of a scene and at least one spectrally different image of substantially the same scene, said controller is further configured to generate at least one exterior light control signal as a function of analyzing said at least one red filtered image and said at least one spectrally different image, wherein said spectrally different image is selected from the group comprising; a non-spectrally filtered image, an ultra-violet spectrally filtered image and an infrared spectrally filtered image. 24. An automatic vehicle exterior light control as in claim 23 wherein said controller is further configured to identify at least one object within at least one image.25. An automatic vehicle exterior light control as in claim 24 wherein said controller is further configured to compute a brightness ratio between at least one red spectrally filtered and one spectrally different object.26. An automatic vehicle exterior light control as in claim 23 wherein said at least one of said at least one red filtered image and said at least one non-red filtered image is infrared spectrally filtered.27. An automatic vehicle exterior light control, comprising:an image sensor comprising an array of pixel sensors configured to image a scene; and a controller in communication with said image sensor and configured to receive at least one image, said controller is further configured to generate at least one LED control signal as a function of analyzing said at least one image. 28. An automatic vehicle exterior light control as in claim 27 wherein said controller is configured to generate a plurality of LED control signals.29. A method of generating an object list history in an automatic vehicle exterior light control, the method comprising the steps of:a) obtaining at least one image; b) identifying at least one object within said at least one image; and c) generating an object list history wherein said object list history includes at least one object characteristic selected from the group comprising an x-coordinate of at least one pixel within the object, a y-coordinate of at least one pixel within the object, a sum of grayscale values of all object pixels, a total number of object pixels, a grayscale value of object brightest pixel, a brightness ratio between red filtered and non-red filtered object, an average object grayscale value, an object width, an object height, and at least one object sensitivity. 30. The method as in claim 29 further comprising the step of generating at least one exterior light control signal as a function of said object list history.31. The method as in claim 29 comprising the steps of receiving a plurality of images and further comprising the step of deleting said at least one object characteristic from said object list history when said object is determined to be absent in a subsequent image.32. The method as in claim 29 comprising the step of receiving a plurality of images and further comprising the step of updating said at least one object characteristic of at least one object subsequent to analyzing each image so long as said at least one object is determined to be present in a subsequent image.33. The method as in claim 32 further comprising the step of deleting said at least one object characteristic from said object list history when said object is determined to be absent in a subsequent image.34. The method as in claim 29 further comprising the step of receiving a plurality of images and further comprising the step of computing a direction that at least one object travels within a series of images and further comprising the step of generating at least one exterior light control signal as a function of said direction.35. The method as in claim 34 further comprising the step of adding the direction to said object list history.36. The method as in claim 29 further comprising the step of receiving a plurality of images and further comprising the step of computing a distance that at least one object travels within a series of images and further comprising the step of generating an exterior light control signal as a function of said distance.37. The method as in claim 36 further comprising the step of adding the distance to said object list history.38. The method as in claim 29 further comprising the step of receiving a plurality of images and further comprising the step of identifying at least one object that appears in a series of images and further comprising the step of generating an object index.
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