activity
20202026
most citedERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building

261 citations · 356 across the 34 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Object-Aware Domain Generalization for Object Detection

Wooju Lee, Dasol Hong, Hyungtae Lim +1

Single-domain generalization (S-DG) aims to generalize a model to unseen environments with a single-source domain. However, most S-DG approaches have been conducted in the field of…

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★ 1 cited

Robust Recovery Motion Control for Quadrupedal Robots via Learned Terrain Imagination

I Made Aswin Nahrendra, Minho Oh, Byeongho Yu +2

Quadrupedal robots have emerged as a cutting-edge platform for assisting humans, finding applications in tasks related to inspection and exploration in remote areas. Nevertheless,…

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…

cs.RO2023

(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…

cs.RO2023

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…