activity
20202024
most citedFast CRDNN: Towards on Site Training of Mobile Construction Machines

6 citations · 15 across the 8 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.RO2020★ 1 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.CV2020★ 5 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.SP2020★ 6 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…

cs.NI2020

Realtime Estimation of IEEE 802.11p for Mobile working Machines Communication respecting Delay and Packet Loss

Yusheng Xiang, Tianqing Su, Xiaole Liu +1

The fleet management of mobile working machines with the help of connectivity can increase not only safety but also productivity. However, rare mobile working machines have taken a…