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Języki publikacji
Abstrakty
Mobile Mapping Systems (MMS) can be defined as moving platforms which integrates a set of imaging sensors and a position and orientation system (POS) for the collection of geo spatial information. In order to fully explore the potential accuracy of such systems and guarantee accurate multi-sensor integration, a careful system calibration must be carried out. System calibration involves individual sensor calibration as well as the estimation of the inter-sensor geometric relationship. This paper tackles a specific component of the system calibration process of a multi-camera MMS – the estimation of the relative orientation parameters among the cameras, i.e., the inter-camera geometric relationship (lever-arm offsets and boresight angles among the cameras). For that purpose, a novel single step procedure, which is easy to implement and not computationally intensive, will be introduced. The proposed method is implemented in such a way that it can also be used for the estimation of the mounting parameters among the cameras and the IMU body frame, in case of directly georeferenced systems. The performance of the proposed method is evaluated through experimental results using simulated data. A comparative analysis between the proposed single-step and the two-step, which makes use of the traditional bundle adjustment procedure, is demonstrated.
Rocznik
Tom
Strony
173--185
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
- Department of Geomatics Engineering, University of Calgary, Canada
autor
- Department of Geomatics Engineering, University of Calgary, Canada
autor
- Department of Geomatics Engineering, University of Calgary, Canada
autor
- Department of Geomatics, National Cheng-Kung University, Taiwan
Bibliografia
- 1.Adams, D., 2007. Commercial Marine-based mobile mapping and survey systems. In: Proceedings of the 5th International Symposium on Mobile Mapping Technology, Padua, Italy.
- 2.Cramer, M. and D. Stallmann, 2002. System Calibration for Direct Georeferencing. ISPRS Comm. III Symposium ‘Photogrammetric Computer Vision’, Graz, Austria, 9-13 September 2002.
- 3.Ellum, C. and N. El-Sheimy, 2001. A Mobile Mapping System for the Survey Community, In: Proceedings of the 3rd International Symposium on Mobile Mapping Technology (MMS2001), Cairo, Egypt.
- 4.Ellum, C., 2003. The Development of a Backpack Mobile Mapping System. PhD Dissertation, Department of Geomatics Engineering, University of Calgary, Canada.
- 5.El-Sheimy, N., 1992. A Mobile Multi-Sensor System for GIS Applications in Urban Centers. International Archives of Photogrammetry and Remote Sensing, Vol. XXXI, pp. 95-100.
- 6.El-Sheimy, N., 1996. The Development of VISAT - A Mobile Survey System for GIS Applications. PhD Dissertation, Department of Geomatics Engineering, University of Calgary, Canada.
- 7.El-Sheimy, N., 2005. An Overview of Mobile Mapping Systems An Overview of Mobile Mapping Systems, In: Pharaohs to Geoinformatics, FIG Working Week 2005 and GSDI-8 Cairo, Egypt, pp. 1-24.
- 8.Habib, A., A. Kersting, and K. I. Bang, 2010. Comparative Analysis of Different Approaches for the Incorporation of Position and Orientation Information in Integrated Sensor Orientation Procedures. In: Proceedings of Canadian Geomatics Conference 2010 and ISPRS COM I Symposium, Calgary, Canada.
- 9.Honkavara, E., R. Ilves, and J. Jaakkola, 2003. Practical results of GPS/IMU camera system calibration. International Workshop, Theory, Technology and Realities of inertial/GPS Sensor Orientation, ISPRS WG I/5, Castelldefels, Spain, on CD-ROM, 10 pages.
- 10.King, B., 1992. Optimisation of Bundle Adjustments for Stereo Photography. International Archives of Photogrammetry and Remote Sensing, Vol. XXIX, pp. 168-173.
- 11.Lerma, J.L., S. Navarro, M. Cabrelles, and A.E. Seguí, 2010 Camera Calibration with Baseline Distance Constraints, The Photogrammetric Record, 25(130): 140-158.
- 12.Mostafa, M.M.R., J. Hutton, and E. Lithopoulos, 2001. Airborne Direct Georeferencing of Frame Imagery: An Error Budget. In: Proceedings of the 3rd International Symposium on Mobile Mapping Technology, Cairo, Egypt.
- 13.Perry, J.H., 2009. A Synthesized Directly Georeferenced Remote Sensing Technique for Small Unmanned Aerial Vehicles. M.Sc Dissertation, University of Florida.
- 14Pinto L. and G. Forlani, 2002. A single step calibration procedure for IMU/GPS in aerial photogrammetry. In: International Archives of Photogrammetry and Remote Sensing, Vol. XXXIV, Part B3, pp. 210-213.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-99c248d2-c49b-4e74-9836-28174b4de266