Analysis of Different Reference Plane Setups for the Calibration of a Mobile Laser Scanning System

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1 Analysis of Different Reference Plane Setups for the Calibration of a Mobile Laser Scanning System 18. Internationaler Ingenieurvermessungskurs Graz, Austria, th April 2017 Erik Heinz, Christian Eling, Markus Wieland, Lasse Klingbeil and Heiner Kuhlmann University of Bonn, Germany

2 Outline I. Motivation II. Plane-based calibration approach III. Simulation and analysis of different plane setups IV. Application to a mobile laser scanning system Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 2

Motivation Paradigm change in engineering geodesy The

automatic single points vs. area-based static vs.

multi sensors [1] [2] 3D surveying by using kinematic

3 Motivation Paradigm change in engineering geodesy The surveying of the environment has changed manual vs. automatic single points vs. area-based static vs. kinematic single sensor vs. multi sensors [1] [2] 3D surveying by using kinematic multi sensor systems Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 3 [3]

4 Motivation Challenges of kinematic multi sensor systems Georeferencing (GNSS, IMU, odometer etc.) data fusion for trajectory estimation in a filter algorithm integration of stochastic models Object acquisition (laser scanners, cameras etc.) considering object characteristics, configuration, image processing, integration of stochastic models Time synchronization time stamping of the observations within a common time reference Calibration intrinsic calibration: calibration of individual sensor deviations extrinsic calibration: calibration of lever arms and boresight angles 3D point clouds Σ pp?? How good are the 3D point clouds in terms of precision and accuracy? result of complex processing steps Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 4

5 Calibration parameters Calibration of mobile laser scanning systems Calibration of single sensors GNSS IMU 2D laser scanner Installation position and orientation of sensors lever arms boresight angles IMU GNSS Scanner intrinsic calibration IMU GNSS Scanner extrinsic calibration [4] [5] [6] Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 5

025 GNSS Master Station Mobile Laser Scanning System 2D laser scanner 2D laser scanner Z+F Profiler

6 Mobile Laser Scanning System GNSS/IMU unit imar inav-fji-lsurv multi-frequency GNSS, fiber-optic gyroscopes and accelerometers σ Position = cm, σ Attitude < GNSS Master Station Mobile Laser Scanning System 2D laser scanner 2D laser scanner Z+F Profiler 9012 A phase-based 2D laser scanner point accuracies of mm GNSS/IMU unit GNSS Antenna Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 6

7 Outline I. Motivation II. Plane-based calibration approach III. Simulation and analysis of different plane setups IV. Application to a mobile laser scanning system Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 7

Calibration Approach Problem: Determination of calibration parameters lever arm Δx, Δy, Δz and boresight angles α, β, γ between GNSS/IMU unit and 2D laser scanner range offset d 0 of the 2D laser

8 Calibration Approach Problem: Determination of calibration parameters lever arm Δx, Δy, Δz and boresight angles α, β, γ between GNSS/IMU unit and 2D laser scanner range offset d 0 of the 2D laser scanner x e y e z e = t x t y t z n + R b φ, θ, ψ x y z b + R s α, β, γ 0 (d + d 0 ) sin b (d + d 0 ) cos b georeferenced scan point position/attitude (GNSS/IMU unit) extrinsic calibration scan point (laser scanner) + intrinsic calibration Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 8

9 Calibration Approach Approach: Calibration field with reference planes Setup of reference planes 1) georeferencing (e.g. TLS + GNSS control points) 2) static scanning with the MSS 1 2 Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 9

10 Calibration Approach Solution: Parameter estimation georeferenced TLS points must fulfill the plane equations g 1 : s e sin z e cos h e s e sin z e sin h e s e cos z e T nx n y n z d P = 0 observations parameters georeferenced MSS points must fulfill the plane equations g 2 : t x t y n + R b φ, θ, ψ t z x y z b + R s α, β, γ 0 (d + d 0 ) sin b (d + d 0 ) cos b T nx n y n z d P = 0 adjustment of g 1 and g 2 in a Gauß-Helmert model Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 10

11 Outline I. Motivation II. Plane-based calibration approach III. Simulation and analysis of different plane setups IV. Application to a mobile laser scanning system Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 11

Calibration Results Simulation Simulation of different configurations What is a suitable configuration (setup of reference planes and how they are scanned with the mobile system) to obtain good

12 Calibration Results Simulation Simulation of different configurations What is a suitable configuration (setup of reference planes and how they are scanned with the mobile system) to obtain good calibration parameters (small variance, uncorrelated)? Simulation and analysis of 4 configurations, each with: 8 reference planes 6 stations of the mobile laser scanning system Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 12

15-20 m Configuration F 1b : diametrical attitude of MSS, plane rotation of 45

13 Calibration Results Simulation Simulation of configurations F 1a and F 1b Configuration F 1a : identical attitude of MSS, plane rotation of m Configuration F 1b : diametrical attitude of MSS, plane rotation of m Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 13

15-20 m Configuration F 2b : diametrical attitude of MSS, plane rotation of 30

14 Calibration Results Simulation Simulation of configurations F 2a and F 2b Configuration F 2a : identical attitude of MSS, plane rotation of m Configuration F 2b : diametrical attitude of MSS, plane rotation of m Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 14

Calibration Results Simulation Covariance matrix Σ ll of the observations manufacturer information no correlations TLS + GCP s h z 1σ (STD) 0.001 m 0.0025 0.

15 Calibration Results Simulation Covariance matrix Σ ll of the observations manufacturer information no correlations TLS + GCP s h z 1σ (STD) m GNSS/IMU t x, t y, t z Φ, θ, ψ 1σ (STD) 0.01 m D scanner d b 1σ (STD) m 0.02 Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 15

16 Calibration Results Simulation Covariance matrix Σ xx of the parameters parameter accuracies depend on the accuracy of the GNSS/IMU unit and the number of MSS stations σ β and σ d0 vary for different configurations σ x, y, z = 0.01 m = m 6 σ α,β,γ = = σ Δx σ Δy σ Δz σ α σ β σ γ σ d0 F 1a ( I ) m m m mm F 2a ( I ) m m m mm F 1b ( I + II ) m m m mm F 2b ( I + II ) m m m mm Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 16

17 Calibration Results Simulation Correlation matrix of the parameters parameter correlations: diametrical scannning decorrelation of β and d 0 improving of σ β and σ d0 F 1a : F 1b : F 2a : F 2b : not scanned diametrically scanned diametrically Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 17

18 Calibration Results Simulation Why is σ β generally better in F 1 than in F 2? σ Δx σ Δy σ Δz σ α σ β σ γ σ d0 F 1a ( I ) m m m mm F 2a ( I ) m m m mm F 1b ( I + II ) m m m mm F 2b ( I + II ) m m m mm Question: How sensitive are the reference planes with respect to changes in the calibration parameters? Strategy: Simulation of parameter deviations for the boresight angles in F 1 and F 2 : α = 0.03 / β = 0.03 / γ = 0.03 Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 18

19 Calibration Results Simulation Sensitivity of the reference planes F 1 and F 2 Sensitivity in Field F 1 Sensitivity in Field F 2 P 1 P 2 P 3 P 4 P 5 P 6 P 7 P 8 P 1 P 2 P 3 P 4 P 5 P 6 P 7 P 8 Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 19

Calibration Results Simulation Findings of the simulations configuration in the calibration field is crucial for the quality of the calibration results, which can worsen due to

20 Calibration Results Simulation Findings of the simulations configuration in the calibration field is crucial for the quality of the calibration results, which can worsen due to parameter correlations sensitivity of the reference planes analysis allows for a refinement of the network configuration [7] Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 20

21 Outline I. Motivation II. Plane-based calibration approach III. Simulation and analysis of different plane setups IV. Application to a mobile laser scanning system Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 21

5 h, residuals 2 mm) MSS scans of the planes (30 diametrical stations) static scanning (about 60 s per station: reduce

22 Calibration Results Real System Realization of configuration F 1b TLS scan of reference planes (size of 0.6 x 0.9 m) georeferencing using 5 GCPs (statically measured for 2.5 h, residuals 2 mm) MSS scans of the planes (30 diametrical stations) static scanning (about 60 s per station: reduce noise, eliminate timing errors) GCP Reference Planes 3D Laser Scanner Mobile Laser Scanning System (Diametrical Stations) Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 22

Calibration Results Real System Calibration results confirm the simulation results Σ ll due to simulations (σ Pos = 0.01 m, σ Att = 0.01 ) accuracy of the calibration parameters: σ x, y, z = 0.

23 Calibration Results Real System Calibration results confirm the simulation results Σ ll due to simulations (σ Pos = 0.01 m, σ Att = 0.01 ) accuracy of the calibration parameters: σ x, y, z = 0.01 m 30 = m σ α,β,γ = = no parameter correlations Δx Δy Δz α β γ d 0 Value m m m mm STD (1σ) m m m mm Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 23

24 Calibration Results Real System Repeatability of the calibration results subsampling of the observations into 5 blocks each block contains 6 stations from the original 30 stations Stations Δx Δy Δz α β γ d 0 all m m m mm m m m ( ) 0.60 mm m m m mm m m m mm m m m mm m m m mm Max-Min m m m mm Simulation STD (1σ) m m m mm Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 24

System Evaluation Comparison of two kinematic scans two kinematic scans of the Poppelsdorfer Schloss opposite direction of movement mean distance of 15 20 m Error propagation of:

25 System Evaluation Comparison of two kinematic scans two kinematic scans of the Poppelsdorfer Schloss opposite direction of movement mean distance of m Error propagation of: observations: Σ ll calibration: Σ xx intensity-coded Expected accuracy of the point cloud: σ 3D = 2 cm. 25 m 20 m Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 25

75 cm ( 2 cm 2) systematic effects at the facade (due to trajectory) # 3000 2000 1000 25

26 System Evaluation Comparison of two kinematic scans two kinematic scans of the Poppelsdorfer Schloss M3C2-comparison in CloudCompare deviations δ have an RMS of 2.75 cm ( 2 cm 2) systematic effects at the facade (due to trajectory) # m 0 δ [cm] Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 26

permanent test field and repetition of the calibration (repeatability?

27 Scientific achievements Conclusions analysis/refinement of the network configuration in a plane-based calibration field successful calibration of a mobile laser scanning system Future activities permanent test field and repetition of the calibration (repeatability?) refinement of the calibration method and trajectory estimation algorithm Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 27

28 Thank you for your attention Questions or comments? M.Sc. Erik Heinz Institute of Geodesy and Geoinformation University of Bonn, Germany Tel.: / e.heinz@igg.uni-bonn.de Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 28

29 List of Figures [1] (accessed: 24/04/17) [2] (accessed: 24/04/17) [3] (accessed: 24/04/17) [4] (accessed: 24/04/17) [5] af ee5.jpg (accessed: 24/04/17) [6] (accessed: 24/04/17) [7] yzzszn.jpg (accessed: 24/04/17) Erik Heinz 18. Ingenieurvermessungskurs 2017, Graz, Austria Page 29

Development of a Test Field for the Calibration and Evaluation of Kinematic Multi Sensor Systems

Development of a Test Field for the Calibration and Evaluation of Kinematic Multi Sensor Systems DGK-Doktorandenseminar Graz, Austria, 26 th April 2017 Erik Heinz Institute of Geodesy and Geoinformation