1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2024
THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots
Zeshun Li, Fuhao Li, Wanting Zhang +4
Most existing mobile robotic datasets primarily capture static scenes, limiting their utility for evaluating robotic performance in dynamic environments. To address this, we presen…
cs.CV2024
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction
Wanting Zhang, Haodong Xiang, Zhichao Liao +3
The reconstruction of indoor scenes remains challenging due to the inherent complexity of spatial structures and the prevalence of textureless regions. Recent advancements in 3D Ga…
cs.RO2024★ 1 cited
Mobile Robot Oriented Large-Scale Indoor Dataset for Dynamic Scene Understanding
Yifan Tang, Cong Tai, Fangxing Chen +5
Most existing robotic datasets capture static scene data and thus are limited in evaluating robots' dynamic performance. To address this, we present a mobile robot oriented large-s…