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Erschienen in: International Journal of Parallel Programming 5/2020

23.05.2019

Landslide Multi-attitude Data Measurement of Bedding Rock Slope Model

verfasst von: Wei Wang, Huansheng Song, Zhaoyang Zhang, Hua Cui

Erschienen in: International Journal of Parallel Programming | Ausgabe 5/2020

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Abstract

At present, commonly used measurement methods for landslide model pay much attention to the measurement of global displacement without a detailed description of individual components. However, the multi-attitude data concerning the model of bedding rock slope lay the data foundation for describing the mechanism of landslide. In an attempt to obtain the 3D multi-attitude displacement data, this paper, based on the binocular stereo vision as the measurement tool, adopts the cyclic coded targets to follow the unique track of rock block trajectory. Furthermore, a combination of circular coded targets and assisted location marks is designed to obtain the spatial displacement and rotation angle of rock mass center implicitly through the local coordinate system. Finally, the data such as speed, accelerated speed are acquired in accordance with the relationship of time domain and spatial domain. The experiment results show that this paper provides an effective method for the collection of elaborate and accurate landslide data of the bedding rock slope model.

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Metadaten
Titel
Landslide Multi-attitude Data Measurement of Bedding Rock Slope Model
verfasst von
Wei Wang
Huansheng Song
Zhaoyang Zhang
Hua Cui
Publikationsdatum
23.05.2019
Verlag
Springer US
Erschienen in
International Journal of Parallel Programming / Ausgabe 5/2020
Print ISSN: 0885-7458
Elektronische ISSN: 1573-7640
DOI
https://doi.org/10.1007/s10766-019-00638-x

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