9 citations · 16 across the 20 of their papers we have counts for
6 papers · 1 filter
SHeRLoc: Synchronized Heterogeneous Radar Place Recognition for Cross-Modal Localization
Hanjun Kim, Minwoo Jung, Wooseong Yang +1
Despite the growing adoption of radar in robotics, the majority of research has been confined to homogeneous sensor types, overlooking the integration and cross-modality challenges…
The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes
Hyunho Song, Dongjae Lee, Seunghun Oh +2
Large-scale construction and demolition significantly challenge long-term place recognition (PR) by drastically reshaping urban and suburban environments. Existing datasets predomi…
ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models
Minwoo Jung, Lanke Frank Tarimo Fu, Maurice Fallon +1
LiDAR Place Recognition (LPR) is a key component in robotic localization, enabling robots to align current scans with prior maps of their environment. While Visual Place Recognitio…
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…
HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM
Hanjun Kim, Minwoo Jung, Chiyun Noh +5
Recently, radars have been widely featured in robotics for their robustness in challenging weather conditions. Two commonly used radar types are spinning radars and phased-array ra…
HeLiOS: Heterogeneous LiDAR Place Recognition via Overlap-based Learning and Local Spherical Transformer
Minwoo Jung, Sangwoo Jung, Hyeonjae Gil +1
LiDAR place recognition is a crucial module in localization that matches the current location with previously observed environments. Most existing approaches in LiDAR place recogni…