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Samuel S. Mao

7 papers hereh-index 565 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.RO2
  • cs.AI1
  • cs.NI1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

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

6 citations · 15 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

4 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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.