1 citations · 1 across the 4 of their papers we have counts for
4 papers
Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
Shangjie Xue, Jesse Dill, Dhruv Ahuja +3
We present Gaussian Splatting Anisotropic Visibility Field (GAVIS), a novel framework for uncertainty quantification and active mapping in 3DGS. Our key insight is that regions uns…
Neural Visibility Field for Uncertainty-Driven Active Mapping
Shangjie Xue, Jesse Dill, Pranay Mathur +3
This paper presents Neural Visibility Field (NVF), a novel uncertainty quantification method for Neural Radiance Fields (NeRF) applied to active mapping. Our key insight is that re…
Neural Field Dynamics Model for Granular Object Piles Manipulation
Shangjie Xue, Shuo Cheng, Pujith Kachana +1
We present a learning-based dynamics model for granular material manipulation. Inspired by the Eulerian approach commonly used in fluid dynamics, our method adopts a fully convolut…
Tetris-inspired detector with neural network for radiation mapping
Ryotaro Okabe, Shangjie Xue, Jiankai Yu +6
In recent years, radiation mapping has attracted widespread research attention and increased public concerns on environmental monitoring. In terms of both materials and their confi…