7 papers · 1 filter
LiteVoxel: Low-memory Intelligent Thresholding for Efficient Voxel Rasterization
Jee Won Lee, Jongseong Brad Choi
Sparse-voxel rasterization is a fast, differentiable alternative for optimization-based scene reconstruction, but it tends to underfit low-frequency content, depends on brittle pru…
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…
VEGA: Electric Vehicle Navigation Agent via Physics-Informed Neural Operator and Proximal Policy Optimization
Hansol Lim, Minhyeok Im, Jonathan Boyack +2
We present VEGA, a vehicle-adaptive energy-aware routing system for electric vehicles (EVs) that integrates physics-informed parameter estimation with RL-based charge-aware path pl…
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…