OBSTACLE DETECTING SYSTEM AND METHOD

• US 20120081542A1
• Filed: 07/08/2011
• Published: 04/05/2012
• Est. Priority Date: 10/01/2010
• Status: Abandoned Application

• Current Assignee: Andong National University Industry Academic Cooperation Foundation, Electronics and Telecommunications Research Institute
• Original Assignee: Andong National University Industry Academic Cooperation Foundation, Electronics and Telecommunications Research Institute
• Inventors: SUK, Jung Hee, Lyuh, Chun Gi, Chun, Ik Jae, Chung, Wook Jin, Lee, Jeong Hwan, Shim, Jae Chang, Roh, Tae Moon
• Application Number:
  US13/179,122
• Publication Number:
  US 20120081542A1
• Time in Patent Office: Days
• US Class Current: 348/139
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

The obstacle detecting system includes a first image acquiring unit which acquires first image information by selectively receiving a laser beam emitted from at least one laser source toward a road surface at a target distance; a second image acquiring unit which acquires an image of actual surroundings as second image information; an image recognizing unit which recognizes an image of an obstacle by performing 3-D image recognition signal processing on line information of the laser beam using the first image information, and recognizes a pattern of the obstacle by performing pattern recognition signal processing on the second image information; and a risk determining unit which determines a possibility of collision due to presence of the obstacle within the target distance by classifying the recognized obstacles according to whether or not the image-recognized obstacle is matched with the pattern-recognized obstacle.

Claims

1. An obstacle detecting system comprising:

a first image acquiring unit which acquires first image information by selectively receiving a laser beam emitted from at least one laser source toward a road surface at a target distance;

a second image acquiring unit which acquires an image of actual surroundings as second image information;

an image recognizing unit which recognizes an image of an obstacle by performing 3-D image recognition signal processing on line information of the laser beam using the first image information, and recognizes a pattern of the obstacle by performing pattern recognition signal processing on the second image information; and

a risk determining unit which classifies the recognized obstacles according to whether or not the image-recognized obstacle is matched with the pattern-recognized obstacle, and determines a possibility of collision due to presence of the obstacle within the target distance.

2. The obstacle detecting system of claim 1, wherein the image recognizing unit recognizes that the shape-recognized obstacle relatively moves in a left or right direction on the basis of a driving direction of a subject vehicle, and

the risk determining unit determines possibility of collision according to the movement of the shape-recognized obstacle.

3. The obstacle detecting system of claim 1, wherein the image recognizing unit recognizes a pattern of a driving traffic lane of a subject vehicle by performing the pattern recognition signal processing on the second image information, and

the risk determining unit compares the pattern recognizing result of the driving traffic lane and position information of the pattern-recognized obstacle, extracts the obstacle in the driving traffic lane, and classifies the extracted obstacle.

4. The obstacle detecting system of claim 1, wherein the risk determining unit determines that if the shape-recognized obstacle is matched with the pattern-recognized obstacle, the obstacle is located within the target distance, and the possibility of collision is high, and that if the shape-recognized obstacle is not matched with the pattern-recognized obstacle, the obstacle is located beyond the target distance, and the possibility of collision is low.

5. The obstacle detecting system of claim 1, wherein when the shape-recognized obstacle is not matched with the pattern-recognized obstacle, the image recognizing unit again performs the signal processing on image data obtained from the second image acquiring unit.

6. The obstacle detecting system of claim 1, further comprising a control unit which adjusts a scanning angle of the laser beam to the road surface according to the target distance, and transmits a control signal to an external control device or a safety device according to the determined result of the risk determining unit.

7. The obstacle detecting system of claim 1, wherein the image recognizing unit includes a first image signal processing part for recognizing information on whether the obstacle is within the target distance, and a position, shape, driving direction or driving velocity of the obstacle, from the first image information, and a second image signal processing part for performing pattern recognizing algorithm processing on the second image information.

8. The obstacle detecting system of claim 7, wherein the laser beam is a horizontal linear beam, and the first image signal processing part recognizes the information on the object using linearity evaluation on a projected shape of the laser beam or optical triangulation.

9. The obstacle detecting system of claim 8, wherein the first image signal processing unit recognizes an object within the target distance from the first image information, and classifies the object as a facility, a profile, or an obstacle according to a level in which the projecting shape of the laser beam deviates from a straight line.

10. An obstacle detecting method comprising:

scanning a laser beam on a road surface at a target distance from at least one laser source;

selectively receiving the laser beam only to acquire first image information;

acquiring an image of actual surroundings as second image information;

recognizing a shape of the obstacle by performing 3-D image recognition signal processing on line information of the laser beam using the first image information;

recognizing a pattern of the obstacle by performing pattern recognition signal processing on the second image information to;

classifying the recognized obstacles by identifying the image-recognized obstacle is matched with the pattern-recognized obstacle or not; and

determining a possibility of collision by identifying the obstacle is within the target distance or not, based on the classified result.

11. The obstacle detecting method of claim 10, wherein the recognizing a shape of the obstacle recognizes the shape-recognized obstacle relatively moves in a left or right direction on the basis of a driving direction of a subject vehicle, and

wherein the determining a possibility of collision determines the possibility of collision according to movement of the shape-recognized obstacle.

12. The obstacle detecting method of claim 10, wherein the recognizing a pattern of the obstacle recognizes a pattern of a driving traffic lane of a subject vehicle by performing the pattern recognition signal processing on the second image information, and

wherein the classifying the recognized obstacles comparing the pattern recognizing result of the driving traffic lane with position information of the shape-recognized or pattern-recognized obstacle, extracts the obstacle in the driving traffic lane, and classifies the extracted obstacle.

13. The obstacle detecting method of claim 10, wherein the determining a possibility of collision determines that if the shape-recognized obstacle is matched with the pattern-recognized obstacle, the obstacle is located within the target distance, and the possibility of collision is high.

14. The obstacle detecting method of claim 10, wherein if the shape-recognized obstacle is not matched with the pattern-recognized obstacle, the recognizing a pattern of the obstacle is performed again.

15. The obstacle detecting method of claim 10, wherein the determining a possibility of collision determines that if the shape-recognized obstacle is not matched with the pattern-recognized obstacle, the obstacle is located beyond the target distance, and the possibility of collision is low.

16. The obstacle detecting method of claim 10, wherein the determining a possibility of collision determines that if the object detected as the result of recognizing the second image information is not included in the first image information, the detected object is located beyond a region which is scanned by the laser beam.

17. The obstacle detecting method of claim 10, further comprising adjusting a scanning angle of the laser beam to the road surface according to the target distance, before the laser beam scanning operation.

18. The obstacle detecting method of claim 10, further comprising transmitting a control signal to an external control device or a safety device according to the possibility of collision, after the determining a possibility of collision.