27 citations · 48 across the 5 of their papers we have counts for
5 papers
OpenStreetMap-based LiDAR Global Localization in Urban Environment without a Prior LiDAR Map
Younghun Cho, Giseop Kim, Sangmin Lee +1
Using publicly accessible maps, we propose a novel vehicle localization method that can be applied without using prior light detection and ranging (LiDAR) maps. Our method generate…
SC-LiDAR-SLAM: a Front-end Agnostic Versatile LiDAR SLAM System
Giseop Kim, Seungsang Yun, Jeongyun Kim +1
Accurate 3D point cloud map generation is a core task for various robot missions or even for data-driven urban analysis. To do so, light detection and ranging (LiDAR) sensor-based…
Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments
Giseop Kim, Sunwook Choi, Ayoung Kim
Place recognition is a key module in robotic navigation. The existing line of studies mostly focuses on visual place recognition to recognize previously visited places solely based…
LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping
Giseop Kim, Ayoung Kim
Long-term 3D map management is a fundamental capability required by a robot to reliably navigate in the non-stationary real-world. This paper develops open-source, modular, and rea…
DeepLO: Geometry-Aware Deep LiDAR Odometry
Younggun Cho, Giseop Kim, Ayoung Kim
Recently, learning-based ego-motion estimation approaches have drawn strong interest from studies mostly focusing on visual perception. These groundbreaking works focus on unsuperv…