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cs.RO2025
GeomGS: LiDAR-Guided Geometry-Aware Gaussian Splatting for Robot Localization
Jaewon Lee, Mangyu Kong, Minseong Park +1
Mapping and localization are crucial problems in robotics and autonomous driving. Recent advances in 3D Gaussian Splatting (3DGS) have enabled precise 3D mapping and scene understa…
cs.RO2024★ 1 cited
DGS-SLAM: Gaussian Splatting SLAM in Dynamic Environment
Mangyu Kong, Jaewon Lee, Seongwon Lee +1
We introduce Dynamic Gaussian Splatting SLAM (DGS-SLAM), the first dynamic SLAM framework built on the foundation of Gaussian Splatting. While recent advancements in dense SLAM hav…
cs.RO2024
Fast Global Localization on Neural Radiance Field
Mangyu Kong, Seongwon Lee, Jaewon Lee +1
Neural Radiance Fields (NeRF) presented a novel way to represent scenes, allowing for high-quality 3D reconstruction from 2D images. Following its remarkable achievements, global l…