no code implementations • 23 May 2021 • Jiesheng Yang, Fangzheng Lin, Yusheng Xiang, Peter Katranuschkov, Raimar J. Scherer
To improve the efficiency and reduce the labour cost of the renovation process, this study presents a lightweight Convolutional Neural Network (CNN)-based architecture to extract crack-like features, such as cracks and joints.
no code implementations • 14 May 2021 • Yusheng Xiang, Kailun Liu, Tianqing Su, Jun Li, Shirui Ouyang, Samuel S. Mao, Marcus Geimer
In the practical implementation of a construction site, it is sensible to solve the problem with a hybrid solution; therefore, in our study, we proposed an algorithm based on a cutting-edge multi-pathfinding algorithm to enable the massive number of machines cooperation and offer the advice to modify the unreasonable part of the working site in the meantime.
no code implementations • 1 Sep 2020 • Jun Li, Wanrong Hong, Yusheng Xiang
On the application side, vector fields are an extremely useful type of data in empirical sciences, as well as signal processing, e. g. non-parametric transformations of 3D point clouds using 3D vector fields, the modelling of the fluid flow in earth science, and the modelling of physical fields.
no code implementations • 8 Jul 2020 • Yusheng Xiang, Hongzhe Wang, Tianqing Su, Ruoyu Li, Christine Brach, Samuel S. Mao, Marcus Geimer
Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology.
no code implementations • 4 Jun 2020 • Yusheng Xiang, Tian Tang, Tianqing Su, Christine Brach, Libo Liu, Samuel Mao, Marcus Geimer
In our paper, we prove this idea and show that CRDNN is always competent, with the help of transfer learning and IoT technology by field experiment, even the new machine may have a different distribution.
no code implementations • 22 Mar 2020 • Yusheng Xiang, Marcus Geimer
Therefore, even with a simple regeneration process, our algorithm can improve the holistic efficiency of mobile machines up to 9% during Y cycle processes if primary torque concept is used.