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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-4-2022
https://doi.org/10.5194/isprs-annals-V-4-2022-219-2022
© Author(s) 2022. 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-annals-V-4-2022-219-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 May 2022
| 18 May 2022
IMPROVING 3D PEDESTRIAN DETECTION FOR WEARABLE SENSOR DATA WITH 2D HUMAN POSE
V. Kamalasanan
Institute for Cartography and Geoinformatics, Leibniz Universität Hannover, 30167 Hannover, Germany
Y. Feng
Institute for Cartography and Geoinformatics, Leibniz Universität Hannover, 30167 Hannover, Germany
M. Sester
Institute for Cartography and Geoinformatics, Leibniz Universität Hannover, 30167 Hannover, Germany
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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.
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Y. Feng, A. Schlichting, and C. Brenner
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