1 citations · 2 across the 14 of their papers we have counts for
15 papers
Splat2Real: Novel-view Scaling for Physical AI with 3D Gaussian Splatting
Hansol Lim, Jongseong Brad Choi
Physical AI faces viewpoint shift between training and deployment, and novel-view robustness is essential for monocular RGB-to-3D perception. We cast Real2Render2Real monocular dep…
Transforming Omnidirectional RGB-LiDAR data into 3D Gaussian Splatting
Semin Bae, Hansol Lim, Jongseong Brad Choi
The demand for large-scale digital twins is rapidly growing in robotics and autonomous driving. However, constructing these environments with 3D Gaussian Splatting (3DGS) usually r…
TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity
Sooyeun Yang, Cheyul Im, Jee Won Lee +1
3D Gaussian Splatting (3DGS) is a technique to create high-quality, real-time 3D scenes from images. This method often produces visual artifacts known as floaters--nearly transpare…
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…
PRISM: Color-Stratified Point Cloud Sampling
Hansol Lim, Minhyeok Im, Jongseong Brad Choi
We present PRISM, a novel color-guided stratified sampling method for RGB-LiDAR point clouds. Our approach is motivated by the observation that unique scene features often exhibit…
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…
VISKY: Virtual Inertia Skyhook Control for Semi-Active Suspension Systems Using Magnetorheological Dampers
Hansol Lim, Jee Won Lee, Seung-Bok Choi +1
This paper presents a Virtual Inertia Skyhook (VISKY) controller for magnetorheological (MR) dampers in semi-active suspensions. The proposed law is derived from a continuous sky-g…
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…
3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality
Hanbeom Chang, Jongseong Brad Choi, Chul Min Yeum
Indoor SLAM often suffers from issues such as scene drifting, double walls, and blind spots, particularly in confined spaces with objects close to the sensors (e.g. LiDAR and camer…
LiDAR-3DGS: LiDAR Reinforced 3D Gaussian Splatting for Multimodal Radiance Field Rendering
Hansol Lim, Hanbeom Chang, Jongseong Brad Choi +1
In this paper, we explore the capabilities of multimodal inputs to 3D Gaussian Splatting (3DGS) based Radiance Field Rendering. We present LiDAR-3DGS, a novel method of reinforcing…