Apparatus and Method for Measuring Road Flatness

• US 20140270392A1
• Filed: 08/23/2012
• Published: 09/18/2014
• Est. Priority Date: 10/06/2011
• Status: Abandoned Application

• Current Assignee: LG Innotek Company Limited (LG Corporation)
• Original Assignee: LG Innotek Company Limited (LG Corporation)
• Inventors: Kim, Junghun
• Application Number:
  US14/350,255
• Publication Number:
  US 20140270392A1
• Time in Patent Office: Days
• US Class Current: 382/108
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 40/06 Road conditions
• CPC Class Codes: G06T 2207/30256 Lane; Road marking
• CPC Class Codes: G06T 7/40 Analysis of texture depth or shape recovery from texture G06T7/529
• CPC Class Codes: G06T 7/64 of convexity or concavity
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle

Abstract

According to exemplary embodiments of the present invention, the apparatus and method for measuring road flatness are provided, the method comprising obtaining an image of a road, obtaining the road flatness by dividing the image of the road into a plurality of areas, calculating an average brightness from each of the plurality of areas, and comparing the average brightness from each of the plurality of areas with a threshold, and displaying an image relative to the road flatness.

Claims

1. An apparatus for measuring road flatness, the apparatus comprising:

an image sensor for obtaining an image of a road;

a processor for processing the image of the road; and

an encoder for outputting the image of the road to a display unit, wherein the processor uses average brightness of the image of the road to obtain the road flatness.

2. The apparatus of claim 1, wherein the processor divides the image of the road into a plurality of areas to calculate the average brightness of the plurality of areas.

3. The apparatus of claim 2, wherein the processor compares the average brightness of the plurality of areas with a threshold to obtain the road flatness.

4. The apparatus of claim 3, wherein the processor generates a warning message to an area where the average brightness is smaller than the threshold, as a result of comparison between the average brightness of the plurality of areas and the threshold.

5. The apparatus of claim 3, wherein the processor generates an image relative to the road flatness to an area where the average brightness is smaller than the threshold, as a result of comparison between the average brightness of the plurality of areas and the threshold.

6. The apparatus of claim 2, wherein the processor detects a road area from the plurality of areas to calculate the average brightness of the road area.

7. The apparatus of claim 6, wherein the processor compares the average brightness of the road area with the threshold to obtain the road flatness.

8. The apparatus of claim 7, wherein the processor generates a warning message to an area where the average brightness is smaller than the threshold, as a result of comparison between the average brightness of the road area and the threshold.

9. The apparatus of claim 7, wherein the processor generates an image relative to the road flatness to an area where the average brightness is smaller than the threshold, as a result of comparison between the average brightness of the area and the threshold.

10. The apparatus of claim 1, wherein the processor generates an image relative to the road flatness.

11. The apparatus of claim 10, wherein the processor synthesizes the image of the road with the image relative to the road flatness.

12. A method for measuring road flatness, the method comprising:

obtaining an image of a road;

obtaining the road flatness by dividing the image of the road into a plurality of areas, calculating an average brightness from each of the plurality of areas, and comparing the average brightness from each of the plurality of areas with a threshold; and

displaying an image relative to the road flatness.

13. The method of claim 12, wherein the step of obtaining the road flatness comprises detecting a road area from the plurality of areas, calculating an average brightness of the road area, comparing the average brightness of the road area with the threshold, and obtaining the road flatness.

14. The method of claim 12, wherein the step of displaying an image relative to the road flatness includes generating an image relative to the road flatness of an area where the average brightness of the road area is smaller than the threshold.