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 • 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.