PERIPHERY MONITORING DEVICE AND PERIPHERY MONITORING METHOD

• US 20110019873A1
• Filed: 02/02/2009
• Published: 01/27/2011
• Est. Priority Date: 02/04/2008
• Status: Abandoned Application

• Current Assignee: Konica Minolta Holdings Incorporated (Konica Minolta Inc.)
• Original Assignee: Konica Minolta Holdings Incorporated (Konica Minolta Inc.)
• Inventors: Yamato, Hiroshi
• Application Number:
  US12/865,926
• Publication Number:
  US 20110019873A1
• Time in Patent Office: Days
• US Class Current: 382/103
• 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: G08G 1/165 for passive traffic, e.g. including static obstacles, trees
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

A flow calculating section 50 calculates a three-dimensional optical flow at each of measurement points, based on moving information of the respective measurement points calculated by a moving information calculating section 30, and position information acquired by a position information acquiring section 40. A collision determining section 60 determines whether or not an object present in the periphery of a moving object is a collidable object having a possibility of collision against the moving object, based on the three-dimensional optical flows calculated by the flow calculating section 50. An alert controlling section 70 alerts a passenger of a determination result.

Claims

1. A periphery monitoring device loaded in a moving object and for monitoring a periphery of the moving object, comprising:

image acquiring section which acquires image data in the periphery of the moving object in a time-series manner;

moving information calculating means which sets plural measurement points in each of the image data acquired by the image acquiring section to calculate moving information at each of the measurement points;

position information acquiring section which acquires position information of respective positions in the periphery of the moving object in a three-dimensional real space;

flow calculating section which calculates three-dimensional optical flows of the respective measurement points, based on the moving information calculated by the moving information calculating section and the position information acquired by the position information acquiring section; and

collision determining section which determines whether or not an object present in the periphery of the moving object is a collidable object having a possibility of collision against the moving object in a three-dimensional virtual space, based on the three-dimensional optical flows calculated by the flow calculating section.

2. The periphery monitoring device according to claim 1, wherein

the collision determining section determines whether or not the object is the collidable object, based on a judgment as to whether an extended line of each of the three-dimensional optical flows of the object intersects with the moving object.

3. The periphery monitoring device according to claim 2, wherein

the collision determining section determines that the object is the collidable object, in the case where the extended line of each of the three-dimensional optical flows of the object intersects with the moving object, and a distance between the object and the moving object is shorter than a predetermined reference distance.

4. The periphery monitoring device according to claim 3, wherein

the collision determining section changes the reference distance depending on a speed of the moving object.

5. The periphery monitoring device according to claim 4, wherein

the collision determining section calculates a stopping distance of the moving object based on the speed of the moving object to change the reference distance based on the calculated stopping distance.

6. The periphery monitoring device according to claim 3, wherein

the collision determining section changes the reference distance based on a ratio between a magnitude of each of the three-dimensional optical flows of the object, and the distance between the object and the moving object.

7. The periphery monitoring device according to claim 3, wherein

the collision determining section changes the reference distance based on dimensions of the object.

8. The periphery monitoring device according to claim 1, wherein

the collision determining section determines whether or not a speed of the object is changed in such a manner as to avoid the collision, based on processing results obtained by performing a process of determining whether the object is the collidable object plural times in a time-series manner, and a speed of the moving object, to determine whether or not the object is the collidable object based on a determination result.

9. The periphery monitoring device according to claim 1, further comprising

alert section which alerts a passenger of the possibility of collision, if the collision determining section has determined that the object is the collidable object.

10. The periphery monitoring device according to claim 1, wherein

the moving information calculating section executes a corresponding point retrieval process of retrieving a corresponding point with respect to a targeted point set in one of two image data preceding and succeeding in the image data in a time-series manner, from the other of the image data to thereby calculate the moving information.

11. The periphery monitoring device according to claim 1, wherein

the image acquiring section is a stereo camera, and

the position information acquiring section executes a corresponding point retrieval process of retrieving a corresponding point with respect to a targeted point set in one of paired image data obtained by the stereo camera, from the other of the paired image data to thereby calculate the position information.

12. The periphery monitoring device according to claim 1, wherein

the position information acquiring section is a distance measuring device.

13. The periphery monitoring device according to claim 10, wherein

the corresponding point retrieval process is a correlation computation.

14. The periphery monitoring device according to claim 10, wherein

the corresponding point retrieval process includes setting a window in each of the plural image data to be processed, frequency-dividing the image data in the each window, and retrieving the corresponding point based on a correlation between signals whose amplitude components are suppressed.

15. The periphery monitoring device according to claim 14, wherein

the frequency-dividing is one of a high-speed Fourier transformation, a discrete Fourier transformation, a discrete cosine transformation, a discrete sine transformation, a wavelet transformation, and a Hadamard transformation.

16. The periphery monitoring device according to claim 14, wherein

the corresponding point retrieval process is a phase only correlation method.

17. The periphery monitoring device according to claim 13, wherein

the corresponding point retrieval process is retrieving the corresponding point by using a multi-resolution method including:

subjecting the image data to be processed to multi-resolution in such a manner that a resolution is increased from lower hierarchy data to upper hierarchy data;

setting a retrieval range, based on a retrieval result of the corresponding point in the lower hierarchy data, so that the retrieval range of the corresponding point in the upper hierarchy data higher than the lower hierarchy data by one stage is narrower than the retrieval range of the corresponding point in the lower hierarchy data; and

retrieving the corresponding points successively from the lower hierarchy data to the upper hierarchy data.

18. The periphery monitoring device according to claim 1, wherein

the corresponding point retrieval process is retrieving corresponding points with respect to an entirety of the image data.

19. A periphery monitoring method of monitoring a periphery of a moving object, comprising:

an image acquiring step of acquiring image data in the periphery of the moving object in a time-series manner;

a moving information calculating step of calculating moving information of an object included in the image data acquired in the image acquiring step;

a position information acquiring step of acquiring position information of the object in a three-dimensional real space;

a flow calculating step of calculating three-dimensional optical flows, based on the moving information calculated in the moving information calculating step and the position information acquired in the position information acquiring step; and

a collision determining step of determining whether or not the object is a collidable object having a possibility of collision against the moving object in a three-dimensional virtual space, based on the three-dimensional optical flows calculated in the flow calculating step.