@inproceedings{f5a44ee66b4d4d5fa215b509cc952e84,
title = "Three-dimensional laser scanning for the bridge deformation of shanghai maglev train",
abstract = "In China, infrastructure constructions of the city are developed continuously. The state of urban community safety and its capability are an important sign of its quality and civilization. High-precision bridge deformation detection is eagerly needed to ensure the safety of city facilities. In this paper, BP neural network is applied for high-precision 3D modeling of point cloud data obtained by 3D laser scanner along the Shanghai maglev train. Based on the 3D laser scanner technology, the deformation of the maglev train{\textquoteright}s bridge can be usually monitored. After analyzing the experiments on monitoring the bridge deformation of the Shanghai maglev train, a certain deformation effect when the maglev train is passing can be monitored. So, we will get a great deal of data from the Shanghai maglev train safety information.",
keywords = "3D laser scanning, BP neural network, Deformation monitoring",
author = "Yanwen Wu and Lei Zhang and V. Badenko and Garg, \{R. D.\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",
year = "2020",
doi = "10.1007/978-981-13-6508-9\_39",
language = "英语",
isbn = "9789811365072",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "315--329",
editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3",
address = "德国",
}