most citedFast CRDNN: Towards on Site Training of Mobile Construction Machines

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20201 cited

Where am I? SLAM for Mobile Machines on A Smart Working Site

Yusheng Xiang, Dianzhao Li, Tianqing Su +4

The current optimization approaches of construction machinery are mainly based on internal sensors. However, the decision of a reasonable strategy is not only determined by its int…

cs.NI2020

5G meets Construction Machines: Towards a Smart working Site

Yusheng Xiang, Bing Xu, Tianqing Su +3

The fleet management of mobile working machines with the help of connectivity can increase safety and productivity. Although in our previous study, we proposed a solution to use IE…

cs.CV20205 cited

KIT MOMA: A Mobile Machines Dataset

Yusheng Xiang, Hongzhe Wang, Tianqing Su +4

Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology. However, vigorously thriving development and innovation are happ…

eess.SP20206 cited

Fast CRDNN: Towards on Site Training of Mobile Construction Machines

Yusheng Xiang, Tian Tang, Tianqing Su +4

The CRDNN is a combined neural network that can increase the holistic efficiency of torque based mobile working machines by about 9% by means of accurately detecting the truck load…

eess.SY20201 cited

A novel Algorithm for Hydrostatic-mechanical Mobile Machines with a Dual-Clutch Transmission

Yusheng Xiang, Ruoyu Li, Christine Brach +2

Mobile machines using a hydrostatic transmission is highly efficient under lower working-speed condition but less capable at higher transport velocities. To enhance overall efficie…