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Sensors 2014, 14(10), 18187-18210; doi:10.3390/s141018187

Semi-Automatic Determination of Rockfall Trajectories

WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Zürcherstr. 111, Birmensdorf 8903, Switzerland
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Received: 9 May 2014 / Revised: 4 September 2014 / Accepted: 19 September 2014 / Published: 29 September 2014
(This article belongs to the Section Physical Sensors)
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Abstract

In determining rockfall trajectories in the field, it is essential to calibrate and validate rockfall simulation software. This contribution presents an in situ device and a complementary Local Positioning System (LPS) that allow the determination of parts of the trajectory. An assembly of sensors (herein called rockfall sensor) is installed in the falling block recording the 3D accelerations and rotational velocities. The LPS automatically calculates the position of the block along the slope over time based on Wi-Fi signals emitted from the rockfall sensor. The velocity of the block over time is determined through post-processing. The setup of the rockfall sensor is presented followed by proposed calibration and validation procedures. The performance of the LPS is evaluated by means of different experiments. The results allow for a quality analysis of both the obtained field data and the usability of the rockfall sensor for future/further applications in the field. View Full-Text
Keywords: rockfall; trajectory; tracking; measuring rockfall; trajectory; tracking; measuring
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Volkwein, A.; Klette, J. Semi-Automatic Determination of Rockfall Trajectories. Sensors 2014, 14, 18187-18210.

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