6 papers
SARA: Scene-Aware Reconstruction Accelerator
Jee Won Lee, Hansol Lim, Minhyeok Im +2
We present SARA (Scene-Aware Reconstruction Accelerator), a geometry-driven pair selection module for Structure-from-Motion (SfM). Unlike conventional pipelines that select pairs b…
Hybrid Vision Servoing with Depp Alignment and GRU-Based Occlusion Recovery
Jee Won Lee, Hansol Lim, Sooyeun Yang +1
Vision-based control systems, such as image-based visual servoing (IBVS), have been extensively explored for precise robot manipulation. A persistent challenge, however, is maintai…
A Hybrid Surrogate for Electric Vehicle Parameter Estimation and Power Consumption via Physics-Informed Neural Operators
Hansol Lim, Jongseong Brad Choi, Jee Won Lee +2
We present a hybrid surrogate model for electric vehicle parameter estimation and power consumption. We combine our novel architecture Spectral Parameter Operator built on a Fourie…
Micro-splatting: Multistage Isotropy-informed Covariance Regularization Optimization for High-Fidelity 3D Gaussian Splatting
Jee Won Lee, Hansol Lim, Sooyeun Yang +1
High-fidelity 3D Gaussian Splatting methods excel at capturing fine textures but often overlook model compactness, resulting in massive splat counts, bloated memory, long training,…
MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection
Jee Won Lee, Hansol Lim, SooYeun Yang +1
This paper presents a novel masked attention-based 3D Gaussian Splatting (3DGS) approach to enhance robotic perception and object detection in industrial and smart factory environm…
EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics
Hansol Lim, Jee Won Lee, Jonathan Boyack +1
An onboard prediction of dynamic parameters (e.g. Aerodynamic drag, rolling resistance) enables accurate path planning for EVs. This paper presents EV-PINN, a Physics-Informed Neur…