8 citations · 9 across the 4 of their papers we have counts for
5 papers
VIMD: Monocular Visual-Inertial Motion and Depth Estimation
Saimouli Katragadda, Guoquan Huang
Accurate and efficient dense metric depth estimation is crucial for 3D visual perception in robotics and XR. In this paper, we develop a monocular visual-inertial motion and depth…
Learning IMU Bias with Diffusion Model
Shenghao Zhou, Saimouli Katragadda, Guoquan Huang
Motion sensing and tracking with IMU data is essential for spatial intelligence, which however is challenging due to the presence of time-varying stochastic bias. IMU bias is affec…
Online Language Splatting
Saimouli Katragadda, Cho-Ying Wu, Yuliang Guo +3
To enable AI agents to interact seamlessly with both humans and 3D environments, they must not only perceive the 3D world accurately but also align human language with 3D spatial r…
NeRF-VINS: A Real-time Neural Radiance Field Map-based Visual-Inertial Navigation System
Saimouli Katragadda, Woosik Lee, Yuxiang Peng +5
Achieving efficient and consistent localization a prior map remains challenging in robotics. Conventional keyframe-based approaches often suffers from sub-optimal viewpoints due to…
A dual-trap system for the study of charged rotating graphene nanoplatelets in high vacuum
Joyce E. Coppock, Pavel Nagornykh, Jacob P. J. Murphy +3
We discuss the design and implementation of a system for generating charged multilayer graphene nanoplatelets and introducing a nanoplatelet into a quadrupole ion trap in high vacu…