Apparatus and Method for Recognizing Lane

• US 20150248771A1
• Filed: 06/27/2014
• Published: 09/03/2015
• Est. Priority Date: 02/28/2014
• Status: Abandoned Application

• Current Assignee: Synergy Innovation Co., Ltd.
• Original Assignee: Synergy Innovation Co., Ltd.
• Inventors: Kim, ByungHo
• Application Number:
  US14/318,442
• Publication Number:
  US 20150248771A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/30256 Lane; Road marking
• CPC Class Codes: G06T 7/12 Edge-based segmentation
• 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

Abstract

Disclosed is an apparatus and method for recognizing a lane, which may have a small amount of calculations and may improve rate, energy efficiency and accuracy in lane recognition by flexibly correcting an interested area. The apparatus for recognizing a lane includes a lane edge extracting unit for extracting an edge of a lane from a driving image of a vehicle, a lane detecting unit for drawing a linear functional formula between x and y, corresponding to the extracted edge of the lane, based on an X-Y coordinate system in which a horizontal axis of the driving image is an x-axis and a vertical axis is a y-axis, and a lane location analyzing unit for analyzing a location of the lane by using the drawn linear functional formula.

Claims

1. An apparatus for recognizing a lane, comprising:

a lane edge extracting unit for extracting an edge of a lane from a driving image of a vehicle;

a lane detecting unit for drawing a linear functional formula between x and y, corresponding to the extracted edge of the lane, based on an X-Y coordinate system in which a horizontal axis of the driving image is an x-axis and a vertical axis is a y-axis; and

a lane location analyzing unit for analyzing a location of the lane by using the drawn linear functional formula.

2. The apparatus for recognizing a lane according to claim 1, further comprising:

an interested area setting unit for setting an interested area for the driving image by using the linear functional formula drawn by the lane detecting unit,

wherein the lane edge extracting unit extracts an edge of the lane within the interested area set by the interested area setting unit.

3. The apparatus for recognizing a lane according to claim 2,

wherein when two linear functional formulas are drawn by the lane detecting unit, the interested area setting unit calculates an intersection point of the two linear functional formulas as a vanishing point, and sets the interested area by using the calculated vanishing point.

4. The apparatus for recognizing a lane according to claim 3,

wherein the interested area setting unit sets a y-axis coordinate value of the vanishing point as a y-axis coordinate upper limit of the interested area, searches a y-axis coordinate value of a hood of the vehicle, and sets the searched y-axis coordinate value of the hood as a y-axis coordinate lower limit of the interested area.

5. The apparatus for recognizing a lane according to claim 3,

wherein the interested area setting unit corrects a preset interested area by using a location of the vanishing point and width information of the road.

6. The apparatus for recognizing a lane according to claim 2,

wherein the lane detecting unit draws a following equation as the linear functional formula between x and y:

x=a×

(y−

y_b)+x_d

where x and y are variables, a is a constant representing a ratio of an increment of x to an increment of y, y_b represents a y-axis coordinate lower limit of the interested area, and x_d represents a x-axis coordinate value of the linear functional formula at a lower limit of the interested area.

7. The apparatus for recognizing a lane according to claim 6,

wherein the lane detecting unit moves a point t located at the upper limit of the interested area and a point d located at the lower limit of the interested area in a horizontal direction, respectively, and when a number of pixels overlapping with the lane edge extracted by the lane edge extracting unit is greatest, an equation between x and y for a line connecting the points t and d is drawn as the linear functional formula.

8. The apparatus for recognizing a lane according to claim 7,

wherein the lane detecting unit draws a following equation as the linear functional formula;

9. The apparatus for recognizing a lane according to claim 1, further comprising a lane extracting unit for generating an extracted lane image by at least partially removing an image out of the lane from the driving image of the vehicle,

wherein the lane edge extracting unit extracts an edge of the lane in the extracted lane image.

10. The apparatus for recognizing a lane according to claim 9,

wherein the lane extracting unit receives the driving image as a gray image, and generates the extracted lane image as a binary-coded image.

11. The apparatus for recognizing a lane according to claim 10, wherein the lane extracting unit includes:

a road brightness calculating part for receiving the gray image to calculate a brightness threshold;

a brightness-based filtering part for extracting only pixels having brightness over the brightness threshold from the gray image and generating a binary-coded image by using the extracted pixels; and

a width-based filtering part for comparing widths of the pixels extracted by the brightness-based filtering part with a reference width range, and removing a pixel having a width out of the reference width range from the binary-coded image.

12. The apparatus for recognizing a lane according to claim 11,

wherein the road brightness calculating part divides a portion corresponding to the road into a plurality of regions, calculates mean pixel brightness in each region, and calculates a brightness threshold based on the mean pixel brightness.

13. The apparatus for recognizing a lane according to claim 11,

wherein the width-based filtering part calculates a ratio of a lane width to a road width, compares the calculated ratio with a reference ratio range, and removes a pixel whose ratio is out of the reference ratio range from the binary-coded image.

14. A method for recognizing a lane, comprising:

extracting an edge of a lane from a driving image of a vehicle;

drawing a linear functional formula between x and y, corresponding to the extracted edge of the lane, based on an X-Y coordinate system in which a horizontal axis of the driving image is an x-axis and a vertical axis is a y-axis; and

analyzing a location of the lane by using the drawn linear functional formula.