FIG Working Week 2015 1 Quality assurance and calibration tasks in the scope of multi-sensor systems FIG Working Week 2015 From the Wisdom of the Ages to the Challenges of the Modern World Sofia, May 19, 2015 Jens-André Paffenholz, Hamza Alkhatib and Ingo Neumann Geodetic Institute, Leibniz Universität Hannover, Germany Motivation Quality Assurance Why? Increasing the acceptance of geo data Proving the performance of measurement systems Quantitative analysis of measurement results, e.g., object resolution accuracy of measured objects Avoidance of expensive follow-up measurements (efficiency) Improvement of the actual course of action (improvement of quality values) Difficult? Sensors only partially affect the quality of measurement result Other influence factors on the measurement results become more and more important i.e. the object characteristics and calibration tasks Quality assurance of multi- sensor systems is important and difficult 2 Paffenholz et al. FIG Working Week 2015, Sofia - May 19, 2015
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FIG Working Week 2015 1
Quality assurance and calibration tasksin the scope of multi-sensor systems
FIG Working Week 2015From the Wisdom of the Ages to the Challenges of the Modern World
Sofia, May 19, 2015
Jens-André Paffenholz, Hamza Alkhatib and Ingo Neumann
Geodetic Institute, Leibniz Universität Hannover, Germany
MotivationQuality Assurance
Why?
� Increasing the acceptance of geo data
� Proving the performance of measurement systems
� Quantitative analysis of measurement results, e.g.,
� object resolution
� accuracy of measured objects
� Avoidance of expensive follow-up measurements (efficiency)
� Improvement of the actual course of action (improvement of quality values)
Difficult?
� Sensors only partially affect the quality of measurement result
� Other influence factors on the measurement results become more and more important
� i.e. the object characteristics and calibration tasks
Quality assurance of multi-sensor systems is important and difficult
2Paffenholz et al. FIG Working Week 2015, Sofia - May 19, 2015
FIG Working Week 2015 2
MotivationMulti-sensor systems (MSS)
� What is common for all multi-sensor systems (MSS)?
� Superior goal: Efficient data capturing of the environment
� Image capturing sensors: w.l.o.g. laser scanner
� Referencing sensors: 3D positioning sensors
� Use benefits of each enlisted sensor
� What is essential for the MSS?
1) Availability of a proper time reference for the acquired sensor data
2) Mutual spatial relation of each enlisted sensor
� Calibration task
Paffenholz et al. 3FIG Working Week 2015, Sofia - May 19, 2015
Agenda
� Introduction
� Components of the quality assurance process for MSS
� Calibration task for a laser scanner based MSS
� Validation of QA parameters
� Conclusion & Future Work
Paffenholz et al. 4FIG Working Week 2015, Sofia - May 19, 2015
FIG Working Week 2015 3
Introduction
� According to EN ISO 9000:2005 Quality Assurance (QA) is a way of preventing mistakes or defects in manufactured products and avoiding problems when delivering solutions or services to customers. Quality assurance can be seen as "A part of quality management focused on providing confidence that quality requirements will be fulfilled"
� Quality assurance for MSS is…
� An active (continuous und complete) process…
� …which needs to be continuously updated (dynamic)…
� …and which needs to focus on the individual MSS
� In this talk no consideration of
� Instrumental improvements
� The general process of quality management
Paffenholz et al. 5FIG Working Week 2015, Sofia - May 19, 2015
� Accuracy (measurement uncertainty)
� Reliability
� Resolution
� Sensitivity
� Completeness
� Availability (of information)
� Actuality
� Imprecision
� …
„classical“ measures
QA-measures for geodetic (measurement) processes
Paffenholz et al. FIG Working Week 2015, Sofia - May 19, 2015 6
FIG Working Week 2015 4
Exemplary kinematic terrestrial laser scanner (k-TLS) based MSS
7
[Ehm und Hesse, 2012]
Paffenholz et al. FIG Working Week 2015, Sofia - May 19, 2015
Fish bone diagram for measurement results of a MSS(1) Object & (2) measurement process
Paffenholz et al. 8FIG Working Week 2015, Sofia - May 19, 2015
Individual treatment of the whole process necessary (e.g. DIN 18709, GUM)
[Hen
nes,
200
7; N
eum
ann,
201
2]
1
2
34
FIG Working Week 2015 5
Example for static TLSSensor- und object based characteristics
� Here modelled influence factors:
� Range
� Incidence angle
� Intensity
� Showed measure:
Paffenholz et al. 9FIG Working Week 2015, Sofia - May 19, 2015
( )ˆ3
i iP
i
Pspσ
Σ=
[Vennegeerts et al., 2010]
1
Components of QA for k-TLS based MSS
� Core issues of the quality assurance
� Object related issues and geo-referencing process very important
� Main influence factors on the measurement uncertainty
� Range
� Reflectivity of the object
� Incidence angle
� Material properties
� etc.?
Paffenholz et al. 10FIG Working Week 2015, Sofia - May 19, 2015
PlanPlan DoDo
CheckCheckActAct
1
FIG Working Week 2015 6
Adaption of measurement strategy in k-TLS based MSS
� Adopted measurement strategy (perpendicular sighting) to minimize object based characteristics
11
[Ehm und Hesse, 2012]
Paffenholz et al. FIG Working Week 2015, Sofia - May 19, 2015
2
Fish bone diagram for measurement results of a MSS(3) Sensors
Paffenholz et al. 12FIG Working Week 2015, Sofia - May 19, 2015