1 citations · 3 across the 8 of their papers we have counts for
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ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction
Yuetao Li, Zhizhou Jia, Yu Zhang +2
Autonomous high-fidelity object reconstruction is fundamental for creating digital assets and bridging the simulation-to-reality gap in robotics. We present ObjSplat, an active rec…
CAR-LOAM: Color-Assisted Robust LiDAR Odometry and Mapping
Yufei Lu, Yuetao Li, Zhizhou Jia +2
In this letter, we propose a color-assisted robust framework for accurate LiDAR odometry and mapping (LOAM). Simultaneously receiving data from both the LiDAR and the camera, the f…
PB-NBV: Efficient Projection-Based Next-Best-View Planning Framework for Reconstruction of Unknown Objects
Zhizhou Jia, Yuetao Li, Qun Hao +1
Completely capturing the three-dimensional (3D) data of an object is essential in industrial and robotic applications. The task of next-best-view (NBV) planning is to calculate the…
ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting
Yuetao Li, Zijia Kuang, Ting Li +4
We propose ActiveSplat, an autonomous high-fidelity reconstruction system leveraging Gaussian splatting. Taking advantage of efficient and realistic rendering, the system establish…
An Efficient Projection-Based Next-best-view Planning Framework for Reconstruction of Unknown Objects
Zhizhou Jia, Shaohui Zhang, Qun Hao
Efficiently and completely capturing the three-dimensional data of an object is a fundamental problem in industrial and robotic applications. The task of next-best-view (NBV) plann…