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Abstract
Mobile mapping systems (MMS) are increasingly used for many photogrammetric and computer vision applications, especially encouraged by the fast and accurate geospatial data generation. The accuracy of point position in an MMS is mainly dependent on the quality of calibration, accuracy of sensor synchronization, accuracy of georeferencing and stability of geometric configuration of space intersections. In this study, we focus on multi-camera calibration (interior and relative orientation parameter estimation) and MMS calibration (mounting parameter estimation). The objective of this study was to develop a practical scheme for rigorous and accurate system calibration of a photogrammetric mapping station equipped with a multi-projective camera (MPC) and a global navigation satellite system (GNSS) and inertial measurement unit (IMU) for direct georeferencing. The proposed technique is comprised of two steps. Firstly, interior orientation parameters of each individual camera in an MPC and the relative orientation parameters of each cameras of the MPC with respect to the first camera are estimated. In the second step the offset and misalignment between MPC and GNSS/IMU are estimated. The global accuracy of the proposed method was assessed using independent check points. A correspondence map for a panorama is introduced that provides metric information. Our results highlight that the proposed calibration scheme reaches centimeter-level global accuracy for 3D point positioning. This level of global accuracy demonstrates the feasibility of the proposed technique and has the potential to fit accurate mapping purposes.
| Original language | English |
|---|---|
| Article number | 2778 |
| Pages (from-to) | 1-22 |
| Number of pages | 22 |
| Journal | Remote Sensing |
| Volume | 11 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - 1 Dec 2019 |
| MoE publication type | A1 Journal article-refereed |
Funding
This research was funded by the National Land Survey of Finland Development Project Funds "Kansallinen Maastotietokanta - Uudet Kuvamittaustekniikat" and the Strategic Research Council at the Academy of Finland "Competence Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing Point Cloud Ecosystem" (293389/314312) and Academy of Finland "Multi-spectral personal laser scanning for automated environment characterization" (300066).
Keywords
- Direct georeferencing
- Epipolar geometry
- Metric panorama
- Mobile mapping system
- Multi-camera calibration
- Structure from motion
Fingerprint
Dive into the research topics of 'Accurate calibration scheme for a multi-camera mobile mapping system'. Together they form a unique fingerprint.Projects
- 1 Finished
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Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing Point Cloud Ecosystem
Hyyppä, H. (Principal investigator), Vaaja, M. T. (Project Member), Luhtala, L. (Project Member), Sarlin, M. (Project Member), Aho, S. (Project Member), Ingman, M. (Project Member), Takala, H. (Project Member), Nuikka, M. (Project Member), Kurkela, M. (Project Member), Gullmets, H. (Project Member), Julin, A. (Project Member), Ahlavuo, M. (Project Member), Kallio, J.-M. (Project Member), Maksimainen, M. (Project Member), Handolin, H. (Project Member), Jaalama, K. (Project Member), El-Mahgary, S. (Project Member) & Siirala, H. (Project Member)
01/01/2018 → 31/07/2021
Project: Academy of Finland: Strategic research funding
Equipment
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i3 – Industry Innovation Infrastructure
Sainio, P. (Manager)
School of EngineeringFacility/equipment: Facility