Rachel McKenna's presentation

1. B Y D A N I E L V A N A S S E , R A C H E L M C K E N N A
A N D S A M M Y B A R N A R D
MDL Dynascan, ILRIS laser

2. Topics of Discussion
 Why Calibration/Post processing is necessary?
 Dynascan Calibration
 Dynascan Post-Processing
 Data analysis
 Errors with the Dynascan

3. What I did

4. Why Calibrate?

5. Dynascan Calibration/Initialization
 When initializing the LiDAR system, it is necessary to start the vehicle
or vessel for about 20 seconds in a straight line. It is good to reach up to
20km/h during this step, but it is not necessary for the duration of the
initialization.
 In order to achieve the expected accuracy of LiDAR data, boresight
heading, pitch and roll errors should be removed during the calibration
process. If these errors are not corrected, the resulting LiDAR point
cloud data will have a deterioration of absolute accuracy.
 Procedure to calibrate:
 Roll
 Heading
 Pitch

6. Alternative calibration techniques

7. Post-Processing
Before a heading
correction
After heading correction
The image on the left shows the weather
station with uncorrected heading values
while the right image is the corrected
heading where both transducer tracks are
aligned and there is no visible shift
between the two.

8. Post-Processing –Final Result

9. Data Analysis-Point Density

10. Data Analysis-Point Density

11. Data Analysis-Point Density

12. Data Analysis-Differencing

13. Data Analysis-Mesh/Differencing

14. Errors in the Dynascan data

15. D R . T I M W E B S T E R F O R M A K I N G T H I S P O S S I B L E . A L S O ,
T H A N K Y O U T O A G R G S T A F F N A T H A N C R O W E L L A N D
K E V I N
M C G U I G A N F O R A L L Y O U R H E L P .
Special Thanks to