27 citations · 50 across the 10 of their papers we have counts for
10 papers
Are Visual Place Recognition Models Recognizing Places or Conditions? Distractor-Augmented Evaluation and Condition Suppression
Beomsu Kim, Minwoo Jung, Giseop Kim
Long-term Visual Place Recognition (VPR) is typically evaluated by matching queries from one condition against a database from another. Crowdsourced map databases, however, may mix…
TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
Jeongyun Kim, Seunghoon Jeong, Giseop Kim +3
Understanding the 3D geometry of transparent objects from RGB images is challenging due to their inherent physical properties, such as reflection and refraction. To address these d…
Ephemerality meets LiDAR-based Lifelong Mapping
Hyeonjae Gil, Dongjae Lee, Giseop Kim +1
Lifelong mapping is crucial for the long-term deployment of robots in dynamic environments. In this paper, we present ELite, an ephemerality-aided LiDAR-based lifelong mapping fram…
HeLiPR: Heterogeneous LiDAR Dataset for inter-LiDAR Place Recognition under Spatiotemporal Variations
Minwoo Jung, Wooseong Yang, Dongjae Lee +3
Place recognition is crucial for robot localization and loop closure in simultaneous localization and mapping (SLAM). Light Detection and Ranging (LiDAR), known for its robust sens…
ORORA: Outlier-Robust Radar Odometry
Hyungtae Lim, Kawon Han, Gunhee Shin +3
Radar sensors are emerging as solutions for perceiving surroundings and estimating ego-motion in extreme weather conditions. Unfortunately, radar measurements are noisy and suffer…
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…