activity
20232026
most citedAdaLIO: Robust Adaptive LiDAR-Inertial Odometry in Degenerate Indoor Environments

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Raymoval: Raycasting-based Dynamic Object Removal for Static 3D Mapping

Daebeom Kim, Seungjae Lee, Seoyeon Jang +2

Static mapping is fundamental to robot navigation, providing a persistent geometric prior and a consistent reference for long-term autonomy. However, dynamic objects leave residual…

cs.RO2025

Multi-Mapcher: Loop Closure Detection-Free Heterogeneous LiDAR Multi-Session SLAM Leveraging Outlier-Robust Registration for Autonomous Vehicles

Hyungtae Lim, Daebeom Kim, Hyun Myung

As various 3D light detection and ranging (LiDAR) sensors have been introduced to the market, research on multi-session simultaneous localization and mapping (MSS) using heterogene…

cs.CV2024

KISS-Matcher: Fast and Robust Point Cloud Registration Revisited

Hyungtae Lim, Daebeom Kim, Gunhee Shin +5

While global point cloud registration systems have advanced significantly in all aspects, many studies have focused on specific components, such as feature extraction, graph-theore…

cs.RO2023

Quatro++: Robust Global Registration Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM

Hyungtae Lim, Beomsoo Kim, Daebeom Kim +2

Global registration is a fundamental task that estimates the relative pose between two viewpoints of 3D point clouds. However, there are two issues that degrade the performance of…

cs.RO2023★ 2 cited

AdaLIO: Robust Adaptive LiDAR-Inertial Odometry in Degenerate Indoor Environments

Hyungtae Lim, Daebeom Kim, Beomsoo Kim +1

In recent years, the demand for mapping construction sites or buildings using light detection and ranging~(LiDAR) sensors has been increased to model environments for efficient sit…