Abstract

During the last few years, the acquisition of geometric information about objects by using a moving sensor platform has gained increasing popularity in the surveying community. A large number of companies offer vehicle-based mobile mapping systems, which usually contain a fast profile laser scanner, a high-precision inertial measurement unit, and geodetic global navigation satellite system (GNSS) receivers to directly georeference the laser scans and build a consistent point cloud of the object. In contrast, there is a growing number of companies offering small and lightweight unmanned aerial vehicles (UAVs), which automatically fly over the area of interest and create dense point clouds of the environment by using camera images and photogrammetric-processing software. In this case, the georeferencing is usually realized by ground control points. This contribution summarizes activities performed by the authors to bring both fields closer together by developing a small (11 × 10 × 5 cm) and lightweight (240-g) direct-georeferencing unit, which is able to provide accurate position (<5 cm) and orientation (<1°) information in real time. The authors describe the development of the sensor unit and the sensor-fusion algorithms, address the topics of calibration and accuracy evaluation, and provide an overview of different applications in which the unit has been already used. These include the high-resolution acquisition of crop-surface models by using UAV-based imagery, the direct georeferencing of an autonomously flying robot with a laser scanner and multiple cameras, and the generation of laser point clouds using a human-carried mobile mapping system.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work was funded by the Deutsche Forschungsgemeinschaft (DFG) under Project 1505, Mapping on Demand. The authors express their gratitude for this support.

References

Besl, P., and McKay, N. D. (1992). “A method for registration of 3-d shapes.” IEEE Trans. Pattern Anal. Mach. Intell., 14(2), 239–256.
Candiago, S., Remondino, F., De Giglio, M., Dubbini, M., and Gattelli, M. (2015). “Evaluating multispectral images and vegetation indices for precision farming applications from uav images.” Remote Sens., 7(4), 4026–4047.
Droeschel, D., Holz, D., and Behnke, S. (2014). “Omnidirectional perception for lightweight MAVs using a continously rotating 3D laser scanner.” Photogramm. Fernerkundung Geoinf., 2014(5), 451–464.
Eling, C., Klingbeil, L., and Kuhlmann, H. (2014a). “Development of an RTK-GPS system for precise real-time positioning of lightweight UAVs.” Beiträge zum 17. Internationalen Ingenieurvermessungskurs, Zürich, Wichmann, Berlin, 111–123.
Eling, C., Klingbeil, L., and Kuhlmann, H. (2015a). “Real-time single-frequency GPS/MEMS-IMU attitude determination of lightweight UAVs.” Sensors (Basel), 15(10), 26212–26235.
Eling, C., Klingbeil, L., Wieland, M., and Kuhlmann, H. (2014b). “Direct georeferencing of micro aerial vehicles—system design, system calibration and first evaluation tests.” Photogramm. Fernerkundung Geoinf., 4, 227–237.
Eling, C., Klingbeil, L., Wieland, M., and Kuhlmann, H. (2016). “Towards deformation monitoring with uav-based mobile mapping systems.” Proc., 3rd Joint Int. Symp. on Deformation Monitoring (JISDM), TU Wien, Vienna, in press.
Eling, C., Wieland, M., Hess, C., Klingbeil, L., and Kuhlmann, H. (2015b). “Development and evaluation of a UAV based mapping system for remote sensing and surveying applications.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 233–239.
Furukawa, Y., and Ponce, J. (2010). “Accurate, dense, and robust multi-view stereopsis.” IEEE Trans. Pattern Anal. Mach. Intell., 32(8), 1362–1376.
Heinz, E., Eling, C., Wieland, M., Klingbeil, L., and Kuhlmann, H. (2015). “Development, calibration and evaluation of a portable and direct georeferenced laser scanning system for kinematic 3D mapping.” J. Appl. Geod., 9(4), 227–243.
Hewitson, S., and Wang, J. (2010). “Extended receiver autonomous integrity monitoring (ERAIM) for GNSS/INS integration.” J. Surv. Eng., 13–22.
Klingbeil, L., et al. (2014). “Towards autonomous navigation of an UAV-based mobile mapping system.” Proc., 4th Int. Conf. on Machine Control and Guidance, Institut für mobile Maschinen und Nutzfahrzeuge, Braunschweig, Germany.
PhotoScan [Computer software]. Agisoft, St. Petersburg, Russia.
Pix4Dmapper [Computer software]. Pix4D, Lausanne, Switzerland.
PMVS2 [Computer software]. École Normale Supérieure, Paris.
Quigley, M., et al. (2009). “ROS: An open-source robot operating system.” ICRA Workshop on Open Source Software, Vol. 3, 5.
Schneider, J., Eling, C., Klingbeil, L., Kuhlmann, H., Förstner, W., and Stachniss, C. (2016). “Fast and effective online pose estimation and mapping for uavs.” Proc., IEEE Int. Conf. on Robotics and Automation (ICRA), IEEE, New York.
Schneider, J., and Förstner, W. (2013). “Bundle adjustment and system calibration with points at infinity for omnidirectional camera systems.” Photogramm. Fernerkundung Geoinf., 4, 309–321.
Schneider, J., and Förstner, W. (2015). “Real-time accurate geo-localization of a MAV with omnidirectional visual odometry and GPS.” L. Agapito, M. Bronstein, and C. Rother, eds. Computer Vision—ECCV 2014 Workshops. Lecture Notes in Computer Science, Vol. 8925, Springer, Cham, Switzerland.
Thrun, S., Burgard, W., and Fox, D. (2005). Probabilistic robotics (intelligent robotics and autonomous agents), MIT Press, Cambridge, MA.
Turner, D., Lucieer, A., Malenovský, Z., King, D. H., and Robinson, S. A. (2014). “Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-uav over antarctic moss beds.” Remote Sens., 6(5), 4003.
Wang, J., Almagbile, A., Wu, Y., and Tsujii, T. (2012). “Correlation analysis for fault detection statistics in integrated GNSS/INS systems.” J. Global Positioning Syst., (2), 89–99.
Zeimetz, P., and Kuhlmann, H. (2010). “Validation of the laboratory calibration of geodetic antennae based on GPS measurements.” FIG Working Week, FIG, Copenhagen, Denmark.

Information & Authors

Information

Published In

Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 143Issue 4November 2017

History

Received: Mar 14, 2016
Accepted: Jan 20, 2017
Published online: May 3, 2017
Discussion open until: Oct 3, 2017
Published in print: Nov 1, 2017

Permissions

Request permissions for this article.

Authors

Affiliations

Senior Research Scientist, Institute of Geodesy and Geoinformation, Rheinische Friedrich-Wilhelms-Univ. Bonn, 53115 Bonn, Germany (corresponding author). ORCID: https://orcid.org/0000-0002-1941-150X. E-mail: [email protected]
Christian Eling [email protected]
Research Scientist, Institute of Geodesy and Geoinformation, Rheinische Friedrich-Wilhelms-Univ. Bonn, 53115 Bonn, Germany. E-mail: [email protected]
Research Scientist, Institute of Geodesy and Geoinformation, Rheinische Friedrich-Wilhelms-Univ. Bonn, 53115 Bonn, Germany. E-mail: [email protected]
Markus Wieland [email protected]
Research Engineer, Institute of Geodesy and Geoinformation, Rheinische Friedrich-Wilhelms-Univ. Bonn, 53115 Bonn, Germany. E-mail: [email protected]
Heiner Kuhlmann [email protected]
Full Professor, Institute of Geodesy and Geoinformation, Rheinische Friedrich-Wilhelms-Univ. Bonn, 53115 Bonn, Germany. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share