Process and apparatus for determining the condition of a road surface

• US 6,040,916 A
• Filed: 08/20/1998
• Issued: 03/21/2000
• Est. Priority Date: 08/20/1997
• Status: Expired due to Fees

• Current Assignee: Daimler Chrysler Company LLC (Stellantis NV)
• Original Assignee: Daimler Chrysler Company LLC (Stellantis NV)
• Inventors: Griesinger, Manfred
• Primary Examiner(s): Font, Frank G.
• Assistant Examiner(s): Punnoose, Roy M.
• Application Number:
  US09/136,928
• Time in Patent Office: 579 Days
• Field of Search: 356/240, 356/51, 356/371, 356/374, 356/237, 356/5.05, 356/237.2, 356/388, 356/448, 356/445, 356/390, 356/300, 356/303, 250/574, 340/905
• US Class Current: 356/448
• CPC Class Codes: B60G 2400/82 Ground surface
• CPC Class Codes: B60G 2401/00 Indexing codes relating to the type of sensors based on the principle of their operation
• CPC Class Codes: B60T 2210/12 Friction
• CPC Class Codes: B60T 8/172 Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters B60T8/17551 takes precedence
• CPC Class Codes: G01B 11/0625 with measurement of absorption or reflection

Abstract

In a process for determining the condition of a road surface, light is beamed onto the road surface and backscattered light is detected and spectrally analyzed. The light beam contains two light fractions, one having wavelength range which is not significantly absorbed by water/ice and another having a wavelength range which is significantly absorbed by these materials. The first light fraction contains light of several different wavelengths and the spectral analysis includes the determination of an approximation reference curve for the spectral plots of the backscattered light when the road is dry. This is accomplished by using the spectral data of the backscattered light fraction in the wavelength range without significant absorption, and the determination of the difference between the spectral data of the backscattered-light fraction in the other wavelength range and the corresponding data of the approximation reference curve for at least one wavelength. A typical use, for example, is for continuous qualitative and quantitative determination of the condition of the road surface on which a road vehicle is driving.

Claims

1. A process for determining a condition of a road surface, comprising:

beaming light onto the road surface, said light including a first light fraction having a first wavelength range which is not significantly absorbed by water/ice, and a second light fraction having a second wavelength range which is significantly absorbed by water/ice, said first light fraction including first light components with differing wavelengths;

detecting backscattered light from the road surface;

analyzing the backscattered light from the road surface to obtain a spectral intensity distribution curve;

determining an approximation reference curve for spectral intensity distribution of the backscattered light when the road is dry using spectral data of the detected backscattered light;

calculating a difference between spectral data of light backscattered from the second light fraction and corresponding data of the approximation reference curve for at least one wavelength of the second wavelength range, to obtain a difference curve; and

determining the condition of the road surface based on the calculated difference curve;

wherein

the second light fraction contains a plurality of different wavelengths; and

the difference between the spectral data of the second backscattered-light fraction and the corresponding approximation reference curve data is determined as a difference curve between a measured spectral curve of the backscattered light and the approximation reference curve in the second wavelength range.

2. The process according to claim 1, wherein the first and second light fractions of the light beamed onto the road are in a wavelength range between approximately 800 nm and approximately 1,150 nm.

3. The process according to claim 1, wherein the first wavelength range comprises two partial ranges, one partial range being lower than the second wavelength range and the other partial range being greater than the second wavelength range.

4. The process according to claim 2, wherein the first wavelength range comprises two partial ranges, one partial range being lower than the second wavelength range and the other partial range being greater than the second wavelength range.

5. The process according to claim 1, further comprising:

calculating an integral of the difference curve within the second wavelength range; and

utilizing the integral of the difference curve as a measurement of thickness of a water film formed on the road surface.

6. The process according to claim 2, further comprising:

calculating an integral of the difference curve within the second wavelength range; and

utilizing the integral of the difference curve as a measurement of thickness of a water film formed on the road surface.

7. The process according to claim 3, further comprising:

calculating an integral of the difference curve within the second wavelength range; and

utilizing the integral of the difference curve as a measurement of thickness of a water film formed on the road surface.

8. The process according claim 1, wherein:

a center of gravity of the difference curve is calculated for the second wavelength range; and

distinguishing between water, ice and snow on the road surface based on a position of the center of gravity.

9. The process according claim 2, wherein:

a center of gravity of the difference curve is calculated for the second wavelength range; and

distinguishing between water, ice and snow on the road surface based on a position of the center of gravity.

10. Process according to claim 3, wherein:

a center of gravity of the difference curve is calculated for the second wavelength range; and

distinguishing between water, ice and snow on the road surface based on a position of the center of gravity.

11. Process according to claim 5, wherein:

a center of gravity of the difference curve is calculated for the second wavelength range; and

distinguishing between water, ice and snow on the road surface based on a position of the center of gravity.

12. Process according to claim 9, further comprising:

determining a temperature of a covering of water, ice or snow on the road surface.

13. Process according to claim 12, further comprising:

when water is on the road, determining if the temperature of the water is close to a freezing point; and

emitting a warning to a driver that freezing is to be expected if the water is close to the freezing point.

14. Process according to claim 8, further comprising:

when one of ice and snow is on the road, analyzing an amplitude of the difference curve to determine whether ice or snow is on the road.

15. The process according to claim 1, wherein said step of determining an approximation reference curve comprises:

obtaining a first reference spectrum in an absence of ambient light while a light generating unit is activated based on a defined reference road covering;

obtaining a second reference spectrum during for daylight while the light generating unit is deactivated based on the defined reference road covering;

arranging a backscattered-light spectrum of a dry road as a parameter-dependent wavelength-dependent function, multiplied by a sum of a fraction of a first reference spectrum and a fraction of a second reference spectrum to obtain the approximation reference curve; and

calculating an optimum approximation of free parameters of a function and a ratio factor from the measured spectral curve of backscattered light in the first wavelength range.

16. The process according to claim 15, further comprising:

sensing the ratio factor in a continuous manner via an ambient sensor; and

utilizing the ratio factor during determination of the road condition.

17. An apparatus for determining a condition of a road surface;

comprising;

a receiver;

a dispersive element located in the receiver and disposed in a path of backscattered light for spectrally dividing the backscattered light;

a detector for receiving spectrally divided backscattered light and outputting signals indicative thereof; and

an analysis unit coupled to the detector for receiving the signals indicative of the spectrally divided backscattered light;

wherein said analysis unit

analyzes the backscattered light from the road surface to obtain a spectral intensity distribution curve;

determines an approximation reference curve for spectral intensity distribution of the backscattered light when the road is dry using spectral data of the detected backscattered light;

calculates a difference between spectral data of light backscattered from the second light fraction and corresponding data of the approximation reference curve for at least one wavelength of the second wavelength range, to obtain a difference curve; and

determines the condition of the road surface based on the calculated difference curve;

wherein the second light fraction contains a plurality of different wavelengths; and

wherein the difference between the spectral data of the second backscattered-light fraction and the corresponding approximation reference curve data is determined as a difference curve between a measured spectral curve of the backscattered light and the approximation reference curve in the second wavelength range.

18. The apparatus according to claim 17, wherein the dispersive element is one of a diffraction grid, an interference filter and a prism.

19. The apparatus according to claim 17, wherein the analyzing unit is a microprocessor.

20. The apparatus according to claim 17, wherein the detector is a silicon photodetector.