A CASE STUDY OF MULTI-HEAD CAMERA SYSTEMS ON UAV FOR THE GENERATION OF HIGH-QUALITY 3D MAPPING

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Thirawat Bannakulpiphat
Phisan Santitamnont
Theeraruk Maneenart

Abstract

This research aims to present the geometrical model of camera-rig and numerical modeling of the “FOXTECH 3DM V3” multi-head camera system. The multi-head camera system consists of one nadir camera and four 45-degree oblique cameras. The final geometric model of the camera system should be consistent with physical camera geometry to confirm the correctness of the model. The research reveals the parameterization and numerical modeling of “3DM-V3” multi-head camera systems that all four sets of relative translation parameters between the reference camera and all four oblique cameras named , when  has a value from 1 to 4, have to be constraint of a nominal value. The other four sets of relative rotation parameters between the reference camera referred to the other four oblique cameras named , when  has a value from 1 to 4 could be initialized but set “free” during the further numerical process. Other conventional parameters representing all 5 internal camera models (f, ,R1,R2,R3,T1,T2) could be set “free” as widely practice and they will be numerically adjusted with success. The final camera model resulting from adjustment computation for triangulation affirms precise geometry with a mean reprojection error of 0.225 pixels and the rig parameters are consistent with the physical characteristics of the multi-head camera system. In this research, the triangulation block is tied up with ground constraints and check-points using14 signalized GCPs from Chulalongkorn UAV Test Field of size 0.8 square kilometers in Saraburi province. The final adjusted parameters for GCPs show RMSE 0.023 meter in horizontal and RMSE 0.019 meter for the vertical component.

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References

Jiang, S. and Jiang, W. On-board GNSS/IMU assisted feature extraction and matching for oblique UAV images. Remote Sensing, 2017, 9(8), pp. 813. DOI: 10.3390/rs9080813

Remondino, F. and Gerke, M. Oblique aerial imagery–a review, In: 55th. Photogrammetric week, Stuttgart, 7–11 September 2015, pp. 75-83.

Jiang, S. et al. UAV-based oblique photogrammetry for outdoor data acquisition and offsite visual inspection of transmission line. Remote Sensing, 2017, 9(3), pp. 278. DOI: 10.3390/rs9030278

sUAS News. Ultra-Efficient Photogrammetry with Pix4Dmapper Pro’s Multi Camera Rig Processing, 2017. Available from: https://www.suasnews.com/2017/03/ultra-efficient-photogrammetry-pix4dmapper-pros-multi-camera-rig-processing/

[Accessed 3 February 2022].

Geo-matching. Shenzhen Share UAV Technology Co., Ltd 5 Lenses Oblique Aerial Camera PSDK 102S V2, 2022. Available from: https://geo-matching.com/digital-aerial-cameras/5-lenses-oblique-aerial-camera-psdk-102s-v2 [Accessed 3 February 2022].

Unmannedrc. Surveyor 5 Standard Professional Mapping Oblique Camera for UAV Aerial Mapping (120MP), 2022. Available from: https://unmannedrc.com/products/evolution-oblique-camera-system [Accessed 3 February 2022].

Foxtechfpv. FOXTECH 3DM V3 Oblique Camera for Mapping and Survey, 2022. Available from: https://www.foxtechfpv.com/foxtech-3dm-v3-oblique-camera-for-mapping-and-survey.html [Accessed 3 February 2022].

Pix4D. How are the Internal and External Camera Parameters defined, 2022. Available from: https://support.pix4d.com/hc/en-us/articles/202559089-How-are-the-Internal-and-External-Camera-Parameters-defined [Accessed 3 February 2022].

Foxtechfpv. Foxtech Loong 2160 VTOL, 2022. Available from: https://www.foxtechfpv.com/foxtech-loong-2160-vtol.html [Accessed 3 February 2022].

Tallysman. HC871 Dual-Band Helical Antenna, 2022. Available from: https://www.tallysman.com/product/hc871-dual-band-helical-antenna/ [Accessed 3 February 2022].

Santitamnont, P. pyBundleBlock. Bangkok: GitHub, 2022. Available from: https://github.com/phisan-chula/pyBundleBlock [Accessed 7 March 2022].

Bannakulpiphat, T. et al. Best practice for Mapping Production from UAV Imagery. Engineering Journal of Research and Development, 2023, 34(1).

American Society for Photogrammetry and Remote Sensing. ASPRS ACCURACY STANDARDS FOR LARGE-SCALE MAPS, 1990. Available from: http://www.asprs.org/a/society/committees/standards/1990_jul_1068-1070.pdf [Accessed 20 February 2022].