Lidar Management Device with Target Tracking and Method for Use of Same

• US 20120154788A1
• Filed: 02/27/2012
• Published: 06/21/2012
• Est. Priority Date: 07/28/2009
• Status: Active Grant

• Current Assignee: Applied Concepts Incorporated (Emerson Electric Company)
• Original Assignee: Applied Concepts Incorporated (Emerson Electric Company)
• Inventors: Gammenthaler, Robert S.
• Granted Patent: US 8,610,881 B2
• Time in Patent Office: Days
• US Class Current: 356/28
• CPC Class Codes: G01S 17/42 Simultaneous measurement of distance and other co-ordinates indirect measurement G01S17/46
• CPC Class Codes: G01S 17/58 Velocity or trajectory determination systems; Sense-of-movement determination systems
• CPC Class Codes: G01S 17/86 Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• CPC Class Codes: G01S 17/88 Lidar systems specially adapted for specific applications
• CPC Class Codes: G08G 1/04 using optical or ultrasonic detectors
• CPC Class Codes: G08G 1/052 with provision for determining speed or overspeed speed measuring in general G01P

Abstract

A Lidar measurement device for vehicular traffic surveillance and method for use of same are disclosed. In one embodiment, video circuitry acquires video of a field of view having a target therein. A steerable laser progressively scans the field of view to identify targets. The steerable laser then progressively, repeatedly scans a sub-field of the field of view containing the target. A processing circuit portion determines target data of the target based upon range and time measurements associated with reflected laser range-finding signals from the scans of the sub-field. The processing circuit then integrates the target data into the video such that the video may displayed with an image of the target and target data, such as a speed measurement, associated therewith.

Claims

1. A method for operating a vehicular traffic surveillance Lidar measurement device, the method comprising:

acquiring video with the Lidar measurement device of a first field of view having a first aspect ratio, the first field of view operably having a target therein, the video including an image of the target;

progressively repeatedly scanning a second field of view having a second aspect ratio with laser range-finding signals from the Lidar measurement device, the second field of view operably having the target therein and being substantially similar to the first field of view and being an identification space, the second aspect ratio being substantially similar to the first aspect ratio;

based on the progressive repeated scanning of the second field of view, identifying the target and a target space having the target therein;

progressively repeatedly scanning a third field of view having a second aspect ratio with laser range-finding signals from the Lidar measurement device, the third field of view being the target space, the third field of view being smaller than the second field of view, the portion of the identification space outside of the target space is not scanned;

during the progressive repeated scanning of the third field of view, receiving reflected laser range-finding signals from the target at the Lidar measurement device;

determining target data of the target based upon range and time measurements associated with the reflected laser range-finding signals; and

integrating the target data into the video such that speed measurement is associated with the image of the target.

2. The method as recited in claim 1, further comprising adjusting the position of the target space to track the projected movement of the target.

3. The method as recited in claim 2, wherein the adjusting is one of periodic or continuous and the adjusting is based upon historical movement of the target to compensate for the movement of a patrol vehicle within which the vehicular traffic surveillance Lidar measurement device is mounted when a moving mode of operation is being utilized.

4. The method as recited in claim 1, further comprising producing a scanning overlap of adjacent pixels of the reflected laser range-finding signals to insure that a target does not fall between successive pixels.

5. The method as recited in claim 1, wherein the determining target data includes a speed and direction of a patrol vehicle within which the vehicular traffic surveillance Lidar measurement device is mounted.

6. The method as recited in claim 1, wherein the integrating the target data into the video further comprises:

adding a target data box into the video with the target data; and

when multiple targets are within the identification space, limiting the number of target data boxes being displayed.

7. The method as recited in claim 1, wherein the integrating the target data into the video further comprises when multiple targets are within the identification space, prioritizing the multiple targets.

8. The method as recited in claim 1, the method further comprising:

acquiring a reduced target frame, of a laser frame, about the target space of the target;

when there is a reflected laser range-finding signal for a pixel of the laser frame, searching adjacent pixels for hits related to the target; and

calculating a centroid associated with the target.

9. The method as recited in claim 8, further comprising establishing a track list based upon the reduced target frame.

10. The method as recited in claim 9, further comprising:

after examining all of the pixels of the laser frame, for each centroid;

calculating a delta projected pixel position; and

setting an expiration counter; and

for each laser frame removing centroids based on the expiration counter.

11. The method as recited in claim 10, wherein the establishing a track list is further based upon a target selection criteria that includes any of whether a patrol vehicle within which the vehicular traffic surveillance Lidar measurement device is mounted is moving or stationary, whether the target is closest, fastest, or within a range gate, and whether the target is receding or approaching.

12. The method as recited in claim 1, further comprising enabling a high frequency of scans to be made in the target space to reduce error associated with target data collected relative to the target.

20. The system as recited in claim 1, further comprising means for enabling a high frequency of scans to be made in the target space to reduce error associated with target data collected relative to the target.

13. A system for operating a vehicular traffic surveillance Lidar measurement device, the system comprising:

means for acquiring video with the Lidar measurement device of a first field of view having a first aspect ratio, the first field of view operably having a target therein, the video including an image of the target;

means for progressively repeatedly scanning a second field of view having a second aspect ratio with laser range-finding signals from the Lidar measurement device, the second field of view operably having the target therein and being substantially similar to the first field of view_and being an identification space, the second aspect ratio being substantially similar to the first aspect ratio;

based on the progressive repeated scanning of the second field of view, means for identifying the target and a target space having the target therein;

means for progressively repeatedly scanning a third field of view having a second aspect ratio with laser range-finding signals from the Lidar measurement device, the third field of view being the target space, the third field of view being smaller than the second field of view, the portion of the identification space outside of the target space is not scanned;

during the progressive repeated scanning of the third field of view, means for receiving reflected laser range-finding signals from the target at the Lidar measurement device;

means for determining target data of the target based upon range and time measurements associated with the reflected laser range-finding signals; and

means for integrating the target data into the video such that speed measurement is associated with the image of the target.

14. The system as recited in claim 13, further comprising means for adjusting the position of the target space to track the projected movement of the target.

15. The system as recited in claim 14, wherein the adjusting is one of periodic or continuous and the adjusting is based upon historical movement of the target to compensate for the movement of a patrol vehicle within which the vehicular traffic surveillance Lidar measurement device is mounted when a moving mode of operation is being utilized.

16. The system as recited in claim 13, the system further comprising:

means for acquiring a reduced target frame, of a laser frame, about the target space of the target;

means for searching adjacent pixels for hits related to the target when there is a reflected laser range-finding signal for a pixel of the laser frame; and

means for calculating a centroid associated with the target.

17. The system as recited in claim 16, further comprising means for establishing a track list based upon the reduced target frame.

18. The system as recited in claim 17, further comprising:

means for calculating a delta projected pixel position and for setting an expiration counter, the calculating and the setting are after examining all of the pixels of the laser frame and for each centroid;

means for removing centroids based on the expiration counter, for each laser frame.

19. The system as recited in claim 18, wherein the means for establishing a track list is further based upon a target selection criteria that includes any of whether a patrol vehicle within which the vehicular traffic surveillance Lidar measurement device is mounted is moving or stationary, whether the target is closest, fastest, or within a range gate, and whether the target is receding or approaching.