Abstract
Borehole imaging is a method to investigate inside vertical bored hole with an optical camera. It is very important for construction and civil engineering that can accurately investigate the inner ground and geology at low cost. Recently borehole imaging method has also become important in terms of natural disaster prevention, such as landslides. However, easily surveyed cameras are difficult to control their position or pose in the hole because they are always rolling and rotating in the ground. In this study, our purpose is to realize a high-precision survey using cameras at low cost. We consider the introduction of visual SLAM (Simultaneous Localization and Mapping), which is used for autonomous robot navigation, self-driving car or smart phone augmented reality application. In this paper we discuss about development of borehole imaging method with using visual-SLAM.
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Chite, P.P., Rana, J.G., Bhambare, R.R., More, V.A., Kadu, R.A., Bendre, M.R.: IRIS recognition system using ICA, PCA, Daugman’s rubber sheet model together. Int. J. Comput. Technol. Electron. Eng. 2(1), 16–23 (2012)
Wang, S., Luo, S., Huang, Y., Zheng, J.Y., Dai, P., Han, Q.: Railroad online: acquiring and visualizing route panoramas. Vis. Comput. 30(9), 1045–1057 (2014)
Rousso, B., Peleg, S., Finci, I., Rav-Acha, A.: Universal mosaicing using pipe projection. In: Proceedings of Sixth International Conference on Computer Vision, pp. 945–950 (1998)
Cao, M., Deng, Z., Rai, L., Teng, S., Zhao, M., Collier, M.: Generating panoramic unfolded image from borehole video acquired through APBT. Multimedia Tools Appl. 77(19), 25149–25179 (2018)
Sebastian, T., Wolfram, B., Dieter, F., Ryuichi, U.: Probablistic Robotics (in Japanese), MyNavi Shuppan, ISBN 978-4839952983, (2016)
Chuanying, W., Xianjian, Z., Zengqiang, H., Jinchao, W., Yiteng, W.: The automatic interpretation of structural plane parameters in borehole camera images from drilling engineering. J. Pet. Sci. Eng. 154, 417–424 (2017)
Xi-Ning, L., Jin-Song, S., Wu-Yang, Y., Zhen-Ling, L.: Automatic fracture-vug identification and extraction from electric imaging logging data based on path morphology. Pet. Sci. 16, 58–76 (2018)
Rommed, A.Q.C., Diego, C.C., Renato, M.S., Evandro, J.R.P., Fabiana, R.L., Esteban, W.G.C.: Improving accuracy of automatic fracture detection in borehole images with deep learning and GPUs. In: 30th International Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 345–350 (2017)
Mariusz, M., Magdalena, H., Norbert, S.: The application of the automatic search for visually similar geological layers in a borehole in introscopic camera recordings. Measurement 85, 142–151 (2016)
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Kagawa, T. (2020). Development of Borehole Imaging Method with Using Visual-SLAM. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_14
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DOI: https://doi.org/10.1007/978-3-030-29029-0_14
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