System and method of material handling using one or more imaging devices on the transferring vehicle and on the receiving vehicle to control the material distribution into the storage portion of the receiving vehicle

• US 9,522,792 B2
• Filed: 02/11/2013
• Issued: 12/20/2016
• Est. Priority Date: 02/10/2012
• Status: Active Grant

• Current Assignee: Deere & Company
• Original Assignee: Deere & Company
• Inventors: Bonefas, Zachary T., Bartholomew, Darin E.
• Primary Examiner(s): Koziol, Stephen R
• Assistant Examiner(s): Lee, Jonathan S
• Application Number:
  US14/377,413
• Publication Number:
  US 20150378359A1
• Time in Patent Office: 1,408 Days
• US Class Current: 1/1
• CPC Class Codes: A01D 43/087 with controllable discharge spout
• CPC Class Codes: B60P 1/42 mounted on the load-transporting element
• CPC Class Codes: B60R 11/04 Mounting of cameras operative during drive; Arrangement of controls thereof relative to the vehicle
• CPC Class Codes: B62D 6/001 the torque NOT being among the input parameters
• CPC Class Codes: B65B 1/48 Checking volume of filled material
• CPC Class Codes: B65G 67/22 Loading moving vehicles
• CPC Class Codes: G05D 1/021 specially adapted to land vehicles
• CPC Class Codes: G05D 1/0246 using a video camera in combination with image processing means
• CPC Class Codes: G05D 1/0251 extracting 3D information from a plurality of images taken from different locations, e.g. stereo vision stereoscopic image analysis H04N13/00; depth recovery from images G06T7/593
• CPC Class Codes: G05D 1/0293 Convoy travelling
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06T 2207/10021 Stereoscopic video; Stereoscopic image sequence
• CPC Class Codes: G06T 2207/10028 Range image; Depth image; 3D point clouds
• CPC Class Codes: G06T 2207/20061 Hough transform
• CPC Class Codes: G06T 2207/20228 Disparity calculation for image-based rendering
• CPC Class Codes: G06T 2207/30252 Vehicle exterior; Vicinity of vehicle
• CPC Class Codes: G06T 7/13 Edge detection
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/593 from stereo images
• CPC Class Codes: G06T 7/62 of area, perimeter, diameter or volume
• CPC Class Codes: G06T 7/70 : Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: H04N 13/128 : Adjusting depth or disparity
• CPC Class Codes: H04N 7/18 : Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04N 7/181 : for receiving images from a plurality of remote sources
• CPC Class Codes: H04N 7/183 : for receiving images from a single remote source

Abstract

First imaging device collects first image data, whereas second imaging device collects second image data of a storage portion. A container identification module identifies a container perimeter of the storage portion in at least one of the collected first image data and the collected second image data. A spout identification module is adapted to identify a spout of the transferring vehicle in the collected image data. An image data evaluator determines whether to use the first image data, the second image data, or both based on an evaluation of the intensity of pixel data or ambient light conditions. An alignment module is adapted to determine the relative position of the spout and the container perimeter and to generate command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a central zone or a target zone of the container perimeter.

Claims

1. A system for facilitating the transfer of material from a transferring vehicle to a receiving vehicle, the system comprising:

a receiving vehicle comprising a propelled portion for propelling the receiving vehicle and a storage portion for storing material;

a first imaging device facing towards the storage portion of the receiving vehicle, the first imaging device collecting first image data;

a bin identification module for identifying a bin perimeter of the storage portion, wherein the bin identification module identifies the bin perimeter by locating a linear set of pixels associated with the bin perimeter in the collected image data;

a spout identification module for identifying a spout of the transferring vehicle in the collected image data;

an image data evaluator for determining whether to use the first image data for alignment of a relative position of the spout and the bin perimeter based on evaluation of material variation of intensity of pixel data or material variation in ambient light conditions during a sampling time interval;

an alignment module for determining the relative position of the spout and the bin perimeter using the first image data and for generating command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a zone of the bin perimeter; and

a steering controller associated with a steering system of the propelled portion for steering the receiving vehicle in accordance with the cooperative alignment.

2. The system according to claim 1, wherein the first imaging device is mounted on the receiving vehicle.

3. The system according to claim 2, further comprising a second imaging device mounted on the transferring vehicle or movably attached to the transferring vehicle, the second imaging device collecting second image data.

4. The system according to claim 3, wherein the first imaging device has a first field of view of the storage portion and the second imaging device has a second field of view of the storage portion, the first field of view overlapping at least partially with the second field of view.

5. The system according to claim 3, wherein the first imaging device and the second imaging device each comprise a stereo vision camera.

6. The system according to claim 3, wherein the first imaging device comprises a monocular imaging device, the second imaging device comprises a monocular imaging device and together a stereo image is created from the first collected image data and the second collected image data with reference to the relative position and orientation of the first imaging device and the second imaging device.

7. The system according to claim 1, further comprising a first optical sensor associated with the first imaging device, the image data evaluator deciding to use the first image data if the variation in ambient light over a sampling time interval is less than or equal to a maximum ambient light variation, as measured by the first optical sensor.

8. The system according to claim 7, further comprising a second optical sensor associated with the second imaging device, the image data evaluator deciding to use the second image data if the variation in ambient light over a sampling time interval is less than or equal to a maximum ambient light variation, as measured by the second optical sensor.

9. The system according to claim 1, further comprising an image processing module associated with the first imaging device, the image data evaluator deciding to use the first image data if the variation in pixel intensity of a spout or spout end in the first image over a sampling time interval is less than or equal to a maximum pixel intensity variation, as detected by the image processing module.

10. The system according to claim 9, further comprising an image processing module associated with the second imaging device, the image data evaluator deciding to use the second image data if the variation in pixel intensity of a spout or spout end in the second image over a sampling time interval is less than or equal to a maximum pixel intensity variation, as detected by the image processing module.

11. The system according to claim 3, further comprising:

the image data evaluator adapted for determining whether to use the first image data, the second image data or both, for the identification of the bin perimeter and the identifying of the spout, based on pixel intensity in rejected image data being outside of a desired range or variation in pixel intensity during the sampling time interval, where the image data evaluator is configured to disable selectively the processing or use of the rejected image data that comprises a portion of the collected first image data or the second image data that would otherwise be corrupted by excessive transient sunlight during sunrise or sunset.

12. The system according to claim 3, wherein at least one of the first imaging device and the second imaging device has its optical axis, perpendicular to its lens, tilted downward from a generally horizontal plane.

13. A method for facilitating the transfer of material from a transferring vehicle to a receiving vehicle, the method comprising the steps of:

collecting first image data by a first imaging device facing towards a storage portion of a receiving vehicle, the storage portion capable of storing material;

identifying a bin perimeter of the storage portion by locating a linear set of pixels associated with the bin perimeter in the collected image data;

identifying a spout of the transferring vehicle in the collected image data;

determining the relative position of the spout and the bin perimeter using the image data; and

generating command data for a propelled portion of the receiving vehicle to steer the storage portion in cooperative alignment such that the spout is aligned within a zone of the bin perimeter.

14. The method according to claim 13, further comprising the step of transmitting a data message for steering the receiving vehicle in accordance with the cooperative alignment.

15. The method according to claim 13, further comprising the steps of:

collecting second image data by a second imaging device facing towards the storage portion of the receiving vehicle; and

determining whether to use the first image data, the second image data or both for alignment of a relative position of the spout and the bin perimeter based on evaluation of material variation of intensity of pixel data or material variation in ambient light conditions during a sampling time interval.

16. The method according to claim 15, wherein the first imaging device has a first field of view of the storage portion and the second imaging device has a second field of view of the storage portion, the first field of view overlapping at least partially with the second field of view.

17. The method according to claim 15, wherein the first imaging device comprises a monocular imaging device, the second imaging device comprises a monocular imaging device;

and further comprising the step of creating a stereo image from the first collected image data and the second collected image data with reference to the relative position and orientation of the first imaging device and the second imaging device.

18. The method according to claim 15, further comprising the step of deciding to use the first image data if the variation in ambient light over a sampling time interval is less than or equal to a maximum ambient light variation, as measured by a first optical sensor associated with the first imaging device.

19. The method according to claim 18 further comprising the step of deciding to use the second image data if the variation in ambient light over a sampling time interval is less than or equal to a maximum ambient light variation, as measured by the second optical sensor associated with a second imaging device.

20. The method according to claim 13, further comprising the step of deciding to use the first image data if the variation in pixel intensity of a spout or spout end in the first image data over a sampling time interval is less than or equal to a maximum pixel intensity variation, as detected by an image processing module.

21. The method according to claim 20, further comprising the step of deciding to use the second image data if the variation in pixel intensity of a spout or spout end in the second image data over a sampling time interval is less than or equal to a maximum pixel intensity variation, as detected by the image processing module.

22. The method according to claim 15 further comprising step of determining whether to use the first image data, the second image data or both, for the identification of the bin perimeter and the identifying of the spout, based on pixel intensity in rejected image data being outside of a desired range or variation in pixel intensity during the sampling time interval, where an image data evaluator is configured to disable selectively the processing or use of the rejected image data that comprises a portion of the collected first image data or the second image data that would otherwise be corrupted by excessive transient sunlight during sunrise or sunset.

23. The method according to claim 15 wherein at least one of the first imaging device and the second imaging device has its optical axis, perpendicular to its lens, tilted downward from a generally horizontal plane.

24. A system for facilitating the transfer of material from a transferring vehicle to a receiving vehicle, the system comprising:

a receiving vehicle comprising a propelled portion for propelling the receiving vehicle and a storage portion for storing agricultural material;

an imaging device facing towards the storage portion of the receiving vehicle, the imaging device collecting image data;

a bin identification module for identifying a bin perimeter of the storage portion, wherein the bin identification module identifies the bin perimeter by locating a linear set of pixels associated with the bin perimeter in the collected image data;

a spout identification module for identifying a spout of the transferring vehicle in the collected image data;

an adjustable mast capable of adjusting a height of the imaging device within a height range and adjusting a down-tilt angle of the imaging device within a down-tilt angular range;

an image processing module for determining whether to adjust the height of the imaging device or whether to decrement or increment the down-tilt angle of the imaging device based on evaluation of material variation of intensity of pixel data or material variation in ambient light conditions during a sampling time interval;

an alignment module for determining the relative position of the spout and the bin perimeter using the collected image data and for generating command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a central zone of the bin perimeter; and

a steering controller associated with a steering system of the propelled portion for steering the receiving vehicle in accordance with the cooperative alignment.

25. The system according to claim 24, wherein the image processing module sends a data message to a mast controller to increment or decrement the down-tilt angle if the material variation of intensity of pixel data or if the material variation in ambient light conditions exceeds a threshold variation level during a sampling time interval.

26. The system according to claim 24, wherein the image processing module sends a data message to a mast controller to increment or decrement the down-tilt angle at discrete levels within an angular range of approximately negative ten degrees to approximately negative twenty-five degrees from a generally horizontal plane.