activity
20232025
most citedLodeStar: Maritime Radar Descriptor for Semi-Direct Radar Odometry

9 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

GaRLIO: Gravity enhanced Radar-LiDAR-Inertial Odometry

Chiyun Noh, Wooseong Yang, Minwoo Jung +2

Recently, gravity has been highlighted as a crucial constraint for state estimation to alleviate potential vertical drift. Existing online gravity estimation methods rely on pose e…

cs.RO20241 cited

Toward Robust LiDAR based 3D Object Detection via Density-Aware Adaptive Thresholding

Eunho Lee, Minwoo Jung, Ayoung Kim

Robust 3D object detection is a core challenge for autonomous mobile systems in field robotics. To tackle this issue, many researchers have demonstrated improvements in 3D object d…

cs.RO20241 cited

Imaging radar and LiDAR image translation for 3-DOF extrinsic calibration

Sangwoo Jung, Hyesu Jang, Minwoo Jung +2

The integration of sensor data is crucial in the field of robotics to take full advantage of the various sensors employed. One critical aspect of this integration is determining th…

cs.RO20249 cited

LodeStar: Maritime Radar Descriptor for Semi-Direct Radar Odometry

Hyesu Jang, Minwoo Jung, Myung-Hwan Jeon +1

Maritime radars are prevalently adopted to capture the vessel's omnidirectional data as imagery. Nevertheless, inherent challenges persist with marine radars, including limited fre…

cs.RO20233 cited

LiDAR Odometry Survey: Recent Advancements and Remaining Challenges

Dongjae Lee, Minwoo Jung, Wooseong Yang +1

Odometry is crucial for robot navigation, particularly in situations where global positioning methods like global positioning system (GPS) are unavailable. The main goal of odometr…