A ROAD MARKING ANALYSER AND A METHOD OF ANALYSIS OF ROAD MARKINGS AND AN APPARATUS AND METHOD FOR DETECTING VEHICLE WEAVE

• US 20150371094A1
• Filed: 01/24/2014
• Published: 12/24/2015
• Est. Priority Date: 02/13/2013
• Status: Abandoned Application

• Current Assignee: W.D.M. Limited
• Original Assignee: W.D.M. Limited
• Inventors: GARDINER, John Leslie, LAGO, Richard Dal
• Application Number:
  US14/764,245
• Publication Number:
  US 20150371094A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: E01C 23/01 Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports form rails E01C19/50; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs E01C23/07 takes precedence; measuring roughness or irregularity in general G01B
• CPC Class Codes: G01C 7/04 involving a vehicle which moves along the profile to be traced
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G06V 20/584 of vehicle lights or traffic lights
• CPC Class Codes: G06V 20/588 Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
• CPC Class Codes: H04N 5/222 Studio circuitry; Studio devices; Studio equipment cameras or camera modules comprising electronic image sensors, or control thereof H04N23/00

Abstract

An apparatus is provided that is operable as a road marking analyser, comprising a light source arranged to illuminate a road, a camera directed or arranged to view vertically downward in a direction substantially perpendicular to a surface of the road and arranged to capture an image of one or more road markings on the road and a processor arranged to output the captured image to a memory and/or process the image to determine a condition of the one or more road markings.

Claims

1. A road marking condition analyser, comprising:

a light source arranged to illuminate a road, and

a camera directed or arranged to view vertically downward in a direction substantially perpendicular to a surface of the road and arranged to capture an image of the road and one or more road markings on the road; and

a processor arranged to process the image to determine a quality of the one or more road markings by detecting road markings in the image and forming measurements of luminance or brightness of the road markings in the image.

2. The road marking analyser as claimed in claim 1, wherein the light source is a scanning laser.

3. The road marking analyser as claimed in claim 1, in combination with a vehicle arranged to travel over the road.

4. The road marking analyser as claimed in claim 3, further comprising a device arranged to measure the speed of the vehicle over the road and wherein vehicle speed at the time at which the image is captured by the camera is stored in the memory.

5. The road marking analyser as claimed in claim 1, wherein the processor is further arranged to:

store the measurements of luminance or brightness of the markings in the memory.

6. The road marking analyser as claimed in claim 1, wherein detecting the one or more road markings in the captured image comprises:

dividing the image into a plurality of columns orientated parallel to the direction of travel of the road marking analyser;

calculating a value of luminance of each of the plurality of columns; and

identifying changes in the calculated values representing edges of the one or more road markings.

7. The road marking analyser as claimed in claim 6, wherein detecting the one or more road markings in the captured image further comprises:

dividing the image into a plurality of rows orientated perpendicular to the direction of travel of the road marking analyser;

calculating a value of luminance of each of the plurality of rows; and

identifying changes in the calculated values of luminance of each of the plurality of rows representing leading and/or trailing edges of the one or more road markings.

8. The road marking analyser as claimed in claim 5, wherein generating measurements of luminance or brightness of the one or more road markings comprises extracting a value of luminance or brightness from each pixel of the one or more road markings and comparing the value with a predetermined threshold.

9. The road marking analyser as claimed in claim 1, wherein the processor is adapted to:

compare the one or more detected road markings with a set of road markings stored in a database; and

determine one or more road marking types of the one or more road markings based on the comparison.

10. The road marking analyser as claimed in claim 1, further comprising:

a GPS receiver adapted to receive a location of the road marking analyser wherein, the processor compares the one or more detected road markings with a reduced subset of the set of road markings, the subset based on the location of the road marking analyser.

11. The road marking analyser according to claim 10, wherein the road marking analyser is adapted to predict the position of road markings in the image based on the location of the vehicle.

12. The road marking analyser according to claim 1, further comprising an input/output device arranged to transmit the captured image and/or information concerning vehicle location to a remote location.

13. The road marking analyser according to claim 1, wherein the light source is a visible light source or an infra-red light source and the camera is a visible light camera or an infra-red camera.

14. A method of analysing the condition of road markings, comprising:

while travelling along a road in a vehicle, illuminating one or more road markings;

capturing an image of the road with a camera where the image may contain one or more road markings, the camera being directed vertically downward substantially perpendicular to the surface of the road; and

storing the captured image of the one or more road markings for processing or processing the captured image to detect road marking in the image and to determine the quality of the one or more road markings.

15. The method of analysing road markings according to claim 14, further comprising:

generating measurements of condition of the one or more road markings in the captured image; and

storing the measurements.

16. The method of analysing road markings according to claim 14, wherein the detecting road markings in the image comprises:

dividing the image into a plurality of columns orientated parallel to the direction of travel of the vehicle;

calculating a value of luminance in each of the plurality of columns; and

identifying changes in the calculated values of luminance representative of edges of the one or more road markings.

17. The method of analysing road markings according to claim 16, wherein the detecting further comprises:

dividing the image into a plurality of rows orientated perpendicular to the direction of travel of the vehicle;

calculating a value of luminance in each of the plurality of rows; and

identifying changes in the calculated values of luminance in each of the plurality of rows representative of leading and/or trailing edges of the one or more road markings.

18. The method of analysing road markings according to claim 14, wherein the generating comprises:

extracting a value of brightness from each pixel of the one or more road markings and comparing the value with a predetermined threshold brightness.

19. The method of analysing road markings according to claim 14, further comprising:

comparing the one or more detected road markings with a set of known road markings stored in a database; and

determining one or more road marking types of the one or more road markings based on the comparison.

20. The method of analysing road markings according to claim 19, further comprising:

at a GPS receiver, receiving a vehicle location at the time at which the image is captured and storing the location.

21. The method of analysing road markings according to claim 20, further comprising:

predicting a reduced subset of the set of known road markings based on the vehicle location; and

comparing the one or more detected road markings with the reduced subset.

22. The method of analysing road markings according to claim 20, further comprising:

predicting a position of the one or more detected road markings in the image based on the vehicle location.

23. The method of analysing road markings according to claim 14, further comprising:

measuring a vehicle speed at the time at which the image is captured and storing the vehicle speed.

24. The method of analysing road markings according to claim 14, wherein the one or more road markings are illuminated by projecting a line of light on the road.

25. A vehicle weave detector, comprising:

a light source arranged to illuminate a road;

a detector directed vertically downward in a direction substantially perpendicular to a surface of the road and arranged to capture reflected light from the road; and

a processor arranged to;

generate images of the road from the reflected light;

detect a position of one or more road markings in each image; and

compare the position of the one or more road markings in subsequent images to generate a measure of weave of a vehicle relative to the road.

26. The vehicle weave detector as claimed in claim 25, wherein the light source is a scanning laser or a plurality of light emitting diodes.

27. The vehicle weave detector as claimed in claim 25, in combination with a vehicle arranged to travel over the road.

28. The vehicle weave detector as claimed in claim 27, further comprising a device arranged to measure the speed of the vehicle over the road and wherein vehicle speed at the time at which the reflected light is captured by the detector.

29. The vehicle weave detector as claimed in claim 25, wherein detecting the position of the one or more road markings includes:

dividing the image into a plurality of columns orientated parallel to the direction of travel of the vehicle;

calculating a value of luminance in each of the plurality of columns; and

identifying changes in the calculated values of luminance representative of edges of the one or more road markings.

30. The vehicle weave detector as claimed in claim 25, wherein comparing the position of the one or more road markings in subsequent images includes:

comparing the position of the edges of the one or more road markings in subsequent images to determine a relative displacement of the vehicle in a direction perpendicular to the direction of travel of the vehicle.

31. The vehicle weave detector as claimed in claim 25, further comprising a memory for storing the images and/or the generated measures of weave of the vehicle.

32. The vehicle weave detector as claimed in claim 25, wherein the vehicle weave detector further comprises an input/output device arranged to transmit the images and/or the measure of weave to a remote location.

33. The vehicle weave detector as claimed in claim 25, wherein the light source is a visible light source or an infra-red light source and the detector is a visible light detector or an infra-red detector.

34. The vehicle weave detector as claimed in claim 25, wherein the detector comprises a camera or one or more photodiodes.

35. A method of detecting vehicle weave, comprising:

while travelling along a road in a vehicle, illuminating a road;

capturing reflected light from the one or more road markings with a detector, the detector directed vertically downward in a direction substantially perpendicular to a surface of the road;

generating images of the road from the reflected light;

detecting a position of one or more road markings in each image; and

comparing the position of the one or more road markings in subsequent images to generate a measure of weave of a vehicle relative to the road.

36. The method as claimed in claim 35, wherein detecting the position of the one or more road markings includes:

dividing each image into a plurality of columns orientated parallel to the direction of travel of the vehicle;

calculating a value of luminance or brightness in each of the plurality of columns; and

identifying changes in the calculated values of luminance representative of edges of the one or more road markings.

37. A method as claimed in claim 35, wherein comparing the position of the one or more road markings in subsequent images includes:

comparing the position of the edges of the one or more road markings in subsequent images to determine a relative displacement of the vehicle in a direction perpendicular to the direction of travel of the vehicle.

38. A method as claimed in claim 35, further comprising storing the images and/or the generated measures of weave of the vehicle in a memory.

39. A method as claimed in claim 35, further comprising transmitting the images and/or the measure of weave to a remote location.