Abstract
State Grid’s intelligent transportation inspection system has taken “self and environmental awareness” as one of its core functions. Among them, environmental modeling and intelligent reconfiguration are the basis for panoramic information collection and organization of field operations, using multiple sensing technologies and high efficiency. The intelligent image processing algorithm eliminates the need to additionally deploy base stations or sensors at the job site, and can directly form 3D model by scanning the environment directly at the job site through the portable terminal. Furthermore, the various types of information on the site are mainly spatial dimensions, and the time dimension and logical relationship are supplemented by reorganization. This technology will provide new automation and intelligent solutions for grid field operations, improve operation modes, improve work efficiency, and achieve active safety protection.
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References
Stewenius, H., Engels, C., Nistor, D.: Recent developments on direct relative orientation. ISPRS J. Photogramm. Remote. Sens. 60(4), 284–294 (2006)
Schall, O., Belyaev, A., Seidel, H.-R.: Adaptive feature-preserving non-local denoising of static and time-varying range data. Comput-Aided Des. 40(6), 701–707 (2008)
Galvez-Lopez, D., Salas, M., Tardos, J.D.: Real-time monocular object slam. Robot. Auton. Syst. 2016(75), 435–449 (2016)
Newcombe, R.A.: KinectFusion: real-time dense surface mapping and tracking. IEEE Int. Symp. Mix. Augment. Reality IEEE 127–136 (2012)
Izadi, S. et al.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. In: ACM Symposium on User Interface Software and Technology ACM, pp. 559–568 (2011)
Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. Graph. 21(3), 257–266 (2002)
Acknowledgements
Thanks for the support of the science and technology project to State Grid Corporation “Research on Intelligent Reconfiguration and Cognitive Technology of Complex Dynamic Work Environment Based on Deep Vision” (SGJSDK00PXJS1800444).
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Hai, Y. et al. (2020). Research on 3D Scene Dynamic Scanning Modeling Technology of Substation Based on Depth Vision. In: Kountchev, R., Patnaik, S., Shi, J., Favorskaya, M. (eds) Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Smart Innovation, Systems and Technologies, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-15-3867-4_8
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DOI: https://doi.org/10.1007/978-981-15-3867-4_8
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