Optimisation of the calibration process of a k-tls based multi-sensor-system by genetic algorithms

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

  • J. Hartmann
  • I. Von Gösseln
  • N. Schild
  • A. Dorndorf
  • J. A. Paffenholz
  • I. Neumann

Organisationseinheiten

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Details

OriginalspracheEnglisch
Seiten (von - bis)1655-1662
Seitenumfang8
FachzeitschriftInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Jahrgang42
Ausgabenummer2/W13
PublikationsstatusElektronisch veröffentlicht (E-Pub) - 5 Juni 2019
Veranstaltung4th ISPRS Geospatial Week 2019 - Enschede, Niederlande
Dauer: 10 Juni 201914 Juni 2019

Abstract

In recent years, the requirements in the industrial production of elongated objects, e.g., aircraft, have been increased. An essential aspect of the production process is the 3D object detection as well as the qualitative assessment of the captured data. On the one hand high accuracy requirements with a 3D standard deviation of σ3D Combining double low line 1 mm have to be fulfilled, on the other hand an efficient 3D object capturing is needed. In terms of efficiency, kinematic terrestrial laser scanning (k-TLS) has proven its strength in the recent years. It can be seen as an alternative and is even more powerful than to the well established static terrestrial laser scanning (s-TLS). In order to perform a high accurate 3D object capturing with k-TLS, the 3D object capturing of the initial sensor, the (geo-)referencing of the mobile platform, the synchronisation of all sensors and the system calibration, which means the determination of six extrinsic parameters have to be performed with suitable accuracy. Within this contribution we focus on the system calibration. Therefore an approach based on known reference geometries, here planes, is used (Strübing and Neumann, 2013). As a result, the lever arm and boresight angles are determined. Hereby the number as well as the position and orientation of the reference geometries is of importance. Therefore, an optimal arrangement has to be found. Here a sensitive analysis based on uncertainty propagation is used. A selective search of an optimised arrangement is carried out by a genetic algorithm. Within some examples we demonstrate some theoretical aspects and how an optimisation of the reference geometry arrangement can be achieved.

ASJC Scopus Sachgebiete

Zitieren

Optimisation of the calibration process of a k-tls based multi-sensor-system by genetic algorithms. / Hartmann, J.; Von Gösseln, I.; Schild, N. et al.
in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 42, Nr. 2/W13, 05.06.2019, S. 1655-1662.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Hartmann, J, Von Gösseln, I, Schild, N, Dorndorf, A, Paffenholz, JA & Neumann, I 2019, 'Optimisation of the calibration process of a k-tls based multi-sensor-system by genetic algorithms', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jg. 42, Nr. 2/W13, S. 1655-1662. https://doi.org/10.5194/isprs-archives-XLII-2-W13-1655-2019, https://doi.org/10.15488/5101
Hartmann, J., Von Gösseln, I., Schild, N., Dorndorf, A., Paffenholz, J. A., & Neumann, I. (2019). Optimisation of the calibration process of a k-tls based multi-sensor-system by genetic algorithms. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2/W13), 1655-1662. Vorabveröffentlichung online. https://doi.org/10.5194/isprs-archives-XLII-2-W13-1655-2019, https://doi.org/10.15488/5101
Hartmann J, Von Gösseln I, Schild N, Dorndorf A, Paffenholz JA, Neumann I. Optimisation of the calibration process of a k-tls based multi-sensor-system by genetic algorithms. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2019 Jun 5;42(2/W13):1655-1662. Epub 2019 Jun 5. doi: 10.5194/isprs-archives-XLII-2-W13-1655-2019, 10.15488/5101
Hartmann, J. ; Von Gösseln, I. ; Schild, N. et al. / Optimisation of the calibration process of a k-tls based multi-sensor-system by genetic algorithms. in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2019 ; Jahrgang 42, Nr. 2/W13. S. 1655-1662.
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abstract = "In recent years, the requirements in the industrial production of elongated objects, e.g., aircraft, have been increased. An essential aspect of the production process is the 3D object detection as well as the qualitative assessment of the captured data. On the one hand high accuracy requirements with a 3D standard deviation of σ3D Combining double low line 1 mm have to be fulfilled, on the other hand an efficient 3D object capturing is needed. In terms of efficiency, kinematic terrestrial laser scanning (k-TLS) has proven its strength in the recent years. It can be seen as an alternative and is even more powerful than to the well established static terrestrial laser scanning (s-TLS). In order to perform a high accurate 3D object capturing with k-TLS, the 3D object capturing of the initial sensor, the (geo-)referencing of the mobile platform, the synchronisation of all sensors and the system calibration, which means the determination of six extrinsic parameters have to be performed with suitable accuracy. Within this contribution we focus on the system calibration. Therefore an approach based on known reference geometries, here planes, is used (Str{\"u}bing and Neumann, 2013). As a result, the lever arm and boresight angles are determined. Hereby the number as well as the position and orientation of the reference geometries is of importance. Therefore, an optimal arrangement has to be found. Here a sensitive analysis based on uncertainty propagation is used. A selective search of an optimised arrangement is carried out by a genetic algorithm. Within some examples we demonstrate some theoretical aspects and how an optimisation of the reference geometry arrangement can be achieved.",
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Download

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AU - Hartmann, J.

AU - Von Gösseln, I.

AU - Schild, N.

AU - Dorndorf, A.

AU - Paffenholz, J. A.

AU - Neumann, I.

N1 - Funding Information: The presented methods and results were obtained in the scope of the collaborative research project ”FINISH - Exakte und schnel-le Geometrieerfassung sowie Datenauswertung von Schiffsober-flächen für effiziente Beschichtungsprozesse“ and are part of the subproject ”Entwicklung von Algorithmen und Qualitätsprozessen für ein neuartiges kinematisches terrestrisches Laserscanningsys-tem (03SX406D)“, which is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi).

PY - 2019/6/5

Y1 - 2019/6/5

N2 - In recent years, the requirements in the industrial production of elongated objects, e.g., aircraft, have been increased. An essential aspect of the production process is the 3D object detection as well as the qualitative assessment of the captured data. On the one hand high accuracy requirements with a 3D standard deviation of σ3D Combining double low line 1 mm have to be fulfilled, on the other hand an efficient 3D object capturing is needed. In terms of efficiency, kinematic terrestrial laser scanning (k-TLS) has proven its strength in the recent years. It can be seen as an alternative and is even more powerful than to the well established static terrestrial laser scanning (s-TLS). In order to perform a high accurate 3D object capturing with k-TLS, the 3D object capturing of the initial sensor, the (geo-)referencing of the mobile platform, the synchronisation of all sensors and the system calibration, which means the determination of six extrinsic parameters have to be performed with suitable accuracy. Within this contribution we focus on the system calibration. Therefore an approach based on known reference geometries, here planes, is used (Strübing and Neumann, 2013). As a result, the lever arm and boresight angles are determined. Hereby the number as well as the position and orientation of the reference geometries is of importance. Therefore, an optimal arrangement has to be found. Here a sensitive analysis based on uncertainty propagation is used. A selective search of an optimised arrangement is carried out by a genetic algorithm. Within some examples we demonstrate some theoretical aspects and how an optimisation of the reference geometry arrangement can be achieved.

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JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

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