Parameter Estimation of a Laser Measurement Device Using Particle Swarm Optimization

Christian Mentin, Robin Priewald, Eugen Brenner

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

The two-dimensional object’s position or
object’s edge can be estimated from its multi-exposure
shadow projection. This can be done using two bare
Laser diodes projecting the object’s edge onto a CCD
or CMOS sensor without the need of any additional
optical elements such as collimation lenses. For simple
triangulation methods, Sensor- and laser diode position
play a very important role. The overall accuracy is
mostly determined by the uncertainty of that
parameters. This paper presents a possible approach to
determine that parameters. Since deterministic
methods suffer from badly shaped error functions,
stochastic methods can deliver very good results,
ending up in the global optimum. When using particle
swarm optimization, it could be shown, that the
remaining residual error of an estimated projected
edge position can be significantly reduced. This error
immediately effects the overall object’s position
estimation accuracy, which can also be increased, in
case the geometrical system parameters were
determined using particle swarm optimization.

Conference

Conference22nd IMEKO TC4 International Symposium & 20th International Workshop on ADC Modelling and Testing SUPPORTING WORLD DEVELOPMENT THROUGH ELECTRICAL&ELECTRONIC MEASUREMENTS
CountryRomania
CityIasi
Period14/09/1715/09/17
Internet address

Fingerprint

Parameter estimation
Particle swarm optimization (PSO)
Semiconductor lasers
Lasers
Sensors
Triangulation
Optical devices
Charge coupled devices
Lenses
Uncertainty

Keywords

  • CCD Sensor
  • Knife Edge Diffraction

Cite this

Mentin, C., Priewald, R., & Brenner, E. (2017). Parameter Estimation of a Laser Measurement Device Using Particle Swarm Optimization. Paper presented at 22nd IMEKO TC4 International Symposium & 20th International Workshop on ADC Modelling and Testing SUPPORTING WORLD DEVELOPMENT THROUGH ELECTRICAL&ELECTRONIC MEASUREMENTS, Iasi, Romania.

Parameter Estimation of a Laser Measurement Device Using Particle Swarm Optimization. / Mentin, Christian; Priewald, Robin; Brenner, Eugen.

2017. Paper presented at 22nd IMEKO TC4 International Symposium & 20th International Workshop on ADC Modelling and Testing SUPPORTING WORLD DEVELOPMENT THROUGH ELECTRICAL&ELECTRONIC MEASUREMENTS, Iasi, Romania.

Research output: Contribution to conferencePaperResearchpeer-review

Mentin, C, Priewald, R & Brenner, E 2017, 'Parameter Estimation of a Laser Measurement Device Using Particle Swarm Optimization' Paper presented at 22nd IMEKO TC4 International Symposium & 20th International Workshop on ADC Modelling and Testing SUPPORTING WORLD DEVELOPMENT THROUGH ELECTRICAL&ELECTRONIC MEASUREMENTS, Iasi, Romania, 14/09/17 - 15/09/17, .
Mentin C, Priewald R, Brenner E. Parameter Estimation of a Laser Measurement Device Using Particle Swarm Optimization. 2017. Paper presented at 22nd IMEKO TC4 International Symposium & 20th International Workshop on ADC Modelling and Testing SUPPORTING WORLD DEVELOPMENT THROUGH ELECTRICAL&ELECTRONIC MEASUREMENTS, Iasi, Romania.
Mentin, Christian ; Priewald, Robin ; Brenner, Eugen. / Parameter Estimation of a Laser Measurement Device Using Particle Swarm Optimization. Paper presented at 22nd IMEKO TC4 International Symposium & 20th International Workshop on ADC Modelling and Testing SUPPORTING WORLD DEVELOPMENT THROUGH ELECTRICAL&ELECTRONIC MEASUREMENTS, Iasi, Romania.
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