METHOD AND SYSTEM FOR ALIGNING A LINE SCAN CAMERA WITH A LIDAR SCANNER FOR REAL TIME DATA FUSION IN THREE DIMENSIONS

• US 20100157280A1
• Filed: 12/18/2009
• Published: 06/24/2010
• Est. Priority Date: 12/19/2008
• Status: Abandoned Application

• Current Assignee: AmberCore Software, Inc.
• Original Assignee: AmberCore Software, Inc.
• Inventors: Glennie, Craig Len, Mrstik, Paul, Kusevic, Kresimir
• Application Number:
  US12/642,144
• Publication Number:
  US 20100157280A1
• Time in Patent Office: Days
• US Class Current: 356/4.10
• CPC Class Codes: G01S 17/89 for mapping or imaging
• CPC Class Codes: G01S 7/4972 Alignment of sensor

Abstract

An apparatus and method for aligning a line scan camera with a Light Detection and Ranging (LiDAR) scanner for real-time data fusion in three dimensions is provided. Imaging data is captured at a computer processor simultaneously from the line scan camera and the laser scanner from target object providing scanning targets defined in an imaging plane perpendicular to focal axes of the line scan camera and the LiDAR scanner. X-axis and Y-axis pixel locations of a centroid of each of the targets from captured imaging data is extracted. LiDAR return intensity versus scan angle is determined and scan angle locations of intensity peaks which correspond to individual targets is determined. Two axis parallax correction parameters are determined by applying a least squares. The correction parameters are provided to post processing software to correct for alignment differences between the imaging camera and LiDAR scanner for real-time colorization for acquired LiDAR data.

Claims

1. A method for aligning a line scan camera with a Light Detection and Ranging (LiDAR) scanner for real-time data fusion in three dimensions, the line scan camera and LiDAR scanner coupled to a computer processor for processing received data, the method comprising:

a) capturing imaging data at the computer processor simultaneously from the line scan camera and the laser scanner from target object providing a plurality of scanning targets defined in an imaging plane perpendicular to focal axes of the line scan camera and the LiDAR scanner, wherein the plurality of scanning targets spaced horizontally along the imaging plane;

b) extracting x-axis and y-axis pixel locations of a centroid of each of the plurality of targets from captured imaging data;

c) determining LiDAR return intensity versus scan angle;

d) extracting scan angle locations of intensity peaks which correspond to individual targets from the plurality of targets; and

e) determining two axis parallax correction parameters, at a first nominal distance from the target object, by applying a least squares adjustment to determine row and column pixel locations of laser return versus scan angle wherein the determined correction parameters are provided to post processing software to correct for alignment differences between the imaging camera and LiDAR scanner for real-time colorization for acquired LiDAR data.

2. The method of claim 1 wherein applying the least squares adjustment is defined by:

X_image=A*θ

³+B*θ

²+C*θ

+D

Y_image=F*θ

²+G*θ

+H

whereθ

=LaserScanAngle

wherein the parameters A, B, C, D, F, G, and H are solved for in a least squares adjustment to minimize the residuals in the X and Y pixel fit.

3. The method of claim 1 further comprising aligning the line scan camera and the laser scanner to be close to co-registered at the given target object distance.

4. The method of claim 2 wherein the order of the polynomial fit in each coordinate can be increased or decreased if additional parameters are required to properly fit the observations.

5. The method of claim 4 wherein the imaging correction parameters comprise:

number of pixels per scanline, number of scanlines collected, size of pixel on chip in micrometers, approximate focal length of camera in millimetres, nadir range at calibration/alignment, base distance for camera origin to laser origin, and base distance camera origin to laser origin vertical.

6. The method of claim 2 wherein a third order fit along track and a second order fit across track provides sub pixel resolution.

7. The method of claim 1 wherein the line scan camera is mounted at a location in the LiDAR scanner plane and as close as possible to the LiDAR coordinate reference center so as to eliminate the distance dependent up (z-axis) parallax between the two sensors, leaving only a side (x-axis) parallax to be removed by post processing software.

8. The method of claim 7 wherein the region of interest is located near the center of the line scan camera imager.

9. The method of claim 7 where in the aligning of the line scan camera and the LiDAR scanner is performed such that the region of interest surrounds the plurality of scanning targets.

10. The method of claim 1 wherein a polynomial fit of an across scan parallax due to differing target distances is determined whereby a) to d) are performed for more than one target distances from the line scan camera and the LiDAR scanner, and wherein in e), a polynomial fit is chosen based upon the number of distances observed and the best fit polynomial for those distance observed.

11. The method of claim 10 wherein the polynomial order for three distances is a linear model and the polynomial order for 4 distances is a second order polynomial.

12. A system for providing real time data fusion in three dimensions of Light Detection and Ranging (LiDAR) data, the system comprising:

a Light Detection and Ranging (LiDAR) scanner;

a line scan camera providing a region of interest (ROI) extending horizontally across the imager of the line scan camera, the line scan camera and the LiDAR scanner aligned to be close to co-registered at given target object distance defined in an imaging plane perpendicular to focal axes of the line scan camera and the LiDAR scanner, the target object providing a plurality of scanning targets spaced horizontally along the imaging plane;

a computer processor coupled to the LiDAR scanner and the line scan camera for receiving and processing data;

a memory coupled to the computer processor, the memory providing instructions for execution by the computer processor, the instructions comprising;

capturing imaging data simultaneously from line scan camera and laser scanner from the plurality of targets at the computer processor;

extracting x and y pixel locations of a centroid of each of the plurality of targets from captured imaging data;

determining LiDAR return intensity versus scan angle;

extracting scan angle locations of intensity peaks which correspond to individual targets from the plurality of targets;

determining correction parameters by applying a least squares adjustment to determine row and column (pixel location) of laser return versus scan angle;

wherein the determined correction parameters are provided to a post processing software to correct for alignment differences between the imaging camera and LiDAR scanner for real-time colorization for acquired LiDAR data.

13. The system of claim 12 further comprising a plurality of line scan cameras, each camera covering a portion of field of view of the LiDAR scanner.

14. The system of claim 13 wherein the LiDAR scanner provides a field of view of 360°

for and the plurality of line scan cameras comprises at least 4 cameras.

15. The system of claim 12 wherein applying the least squares adjustment is defined by:

X_image=A*θ

³+B*θ

²+C*θ

+D

Y_image=F*θ

²+g*θ

+H

whereθ

=LaserScanAngle

wherein the parameters A, B, C, D, F, G, and H are solved for in a least squares adjustment to minimize the residuals in the X and Y pixel fit.

16. The system of claim 15 wherein the order of the polynomial fit in each coordinate can be increased or decreased if additional parameters are required to properly fit the observations.

17. The system of claim 12 wherein the imaging correction parameters comprise:

number of pixels per scanline, number of scanlines collected, size of pixel on chip in micrometers, approximate focal length of camera in millimetres, nadir range at calibration/alignment, base distance for camera origin to laser origin, and base distance camera origin to laser origin vertical.

18. The system of claim 12 wherein a third order fit along track and a second order fit across track provides sub pixel resolution.

19. The system of claim 12 wherein the line scan camera is mounted at a location in the LiDAR scanner plane and as close as possible to the LiDAR coordinate reference center so as to eliminate the distance dependent up (z) parallax between the two sensors, leaving only a side (x) parallax to be removed by software.

20. The system of claim 19 where in the alignment of the line scan camera and the LiDAR scanner is performed such that the region of interest surrounds the plurality of scanning targets.