6 citations · 15 across the 7 of their papers we have counts for
7 papers
Direct and Adaptable Mesh-Gaussian Scene Reconstruction from Multi-View Images
Ancheng Lin, Tianqing Su, Zuo Yuan +3
Jointly recovering explicit surface geometry and high-quality appearance from multi-view images remains challenging. This capability is essential for maintaining high-fidelity real…
KIT Bus: A Shuttle Model for CARLA Simulator
Yusheng Xiang, Shuo Wang, Tianqing Su +3
With the continuous development of science and technology, self-driving vehicles will surely change the nature of transportation and realize the automotive industry's transformatio…
An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution
Yusheng Xiang, Kailun Liu, Tianqing Su +4
Multi working-machines pathfinding solution enables more mobile machines simultaneously to work inside of a working site so that the productivity can be expected to increase evolut…
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…
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…
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…
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…