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Landslide Multi-attitude Data Measurement of Bedding Rock Slope Model

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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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Acknowledgements

This work is supported by the National Natural Science Fund of China (Nos. 61572083, 6157051669), the Joint fund of the ministry of education of China (No. 6141A02022610), Natural Science Foundation of Shaanxi Province (2018ZDXM-GY-047), Central University Fund of China (300102249103) and Natural Science Foundation of Shaanxi Province (No. 2019SF-258), the Fundamental Research Fund for the Central Universities of China (grant nos. 310824173601, 300102249304, 300102248303).

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Authors and Affiliations

  1. School of Information Engineering, Chang’An University, Xi’an, China

    Wei Wang, Huansheng Song, Zhaoyang Zhang & Hua Cui

  2. Anhui Keli Information Industry Co. Ltd, Hefei, China

    Wei Wang

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  1. Wei Wang
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  2. Huansheng Song
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  4. Hua Cui
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Correspondence to Huansheng Song.

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Wang, W., Song, H., Zhang, Z. et al. Landslide Multi-attitude Data Measurement of Bedding Rock Slope Model. Int J Parallel Prog 48, 928–939 (2020). https://doi.org/10.1007/s10766-019-00638-x

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  • DOI: https://doi.org/10.1007/s10766-019-00638-x

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