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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-683-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-683-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
12 Aug 2020
| 12 Aug 2020
LEARNING THE 3D POSE OF VEHICLES FROM 2D VEHICLE PATCHES
C. Koetsier
Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany
T. Peters
Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany
M. Sester
Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany
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Ehsan Rabiei, Uwe Haberlandt, Monika Sester, Daniel Fitzner, and Markus Wallner
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Short summary
Short summary
The value of using moving cars for rainfall measurement purposes (RCs) was investigated with laboratory experiments by Rabiei et al. (2013). They analyzed the Hydreon and Xanonex optical sensors against different rainfall intensities. A continuous investigation of using RCs with the derived uncertainties from laboratory experiments for areal rainfall estimation as well as implementing the data in a hydrological model are addressed in this study.
S. Zourlidou and M. Sester
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 269–276, https://doi.org/10.5194/isprs-archives-XLI-B2-269-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-269-2016, 2016
E. Rabiei, U. Haberlandt, M. Sester, and D. Fitzner
Hydrol. Earth Syst. Sci., 17, 4701–4712, https://doi.org/10.5194/hess-17-4701-2013, https://doi.org/10.5194/hess-17-4701-2013, 2013
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