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Semi-Automatic Determination of Rockfall Trajectories

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 (...

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Detalles Bibliográficos
Autores principales: Volkwein, Axel, Klette, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239926/
https://www.ncbi.nlm.nih.gov/pubmed/25268916
http://dx.doi.org/10.3390/s141018187
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author Volkwein, Axel
Klette, Johannes
author_facet Volkwein, Axel
Klette, Johannes
author_sort Volkwein, Axel
collection PubMed
description 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.
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spelling pubmed-42399262014-11-21 Semi-Automatic Determination of Rockfall Trajectories Volkwein, Axel Klette, Johannes Sensors (Basel) Article 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. MDPI 2014-09-29 /pmc/articles/PMC4239926/ /pubmed/25268916 http://dx.doi.org/10.3390/s141018187 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Volkwein, Axel
Klette, Johannes
Semi-Automatic Determination of Rockfall Trajectories
title Semi-Automatic Determination of Rockfall Trajectories
title_full Semi-Automatic Determination of Rockfall Trajectories
title_fullStr Semi-Automatic Determination of Rockfall Trajectories
title_full_unstemmed Semi-Automatic Determination of Rockfall Trajectories
title_short Semi-Automatic Determination of Rockfall Trajectories
title_sort semi-automatic determination of rockfall trajectories
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239926/
https://www.ncbi.nlm.nih.gov/pubmed/25268916
http://dx.doi.org/10.3390/s141018187
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