9 citations · 18 across the 5 of their papers we have counts for
5 papers
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…
(LC): LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition
Alex Junho Lee, Seungwon Song, Hyungtae Lim +2
Localization has been a challenging task for autonomous navigation. A loop detection algorithm must overcome environmental changes for the place recognition and re-localization of…
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…
DynaVINS: A Visual-Inertial SLAM for Dynamic Environments
Seungwon Song, Hyungtae Lim, Alex Junho Lee +1
Visual inertial odometry and SLAM algorithms are widely used in various fields, such as service robots, drones, and autonomous vehicles. Most of the SLAM algorithms are based on as…
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud
Seungjae Lee, Hyungtae Lim, Hyun Myung
In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential task for various purposes, such as traversable area detection and object recognition. Unde…