261 citations · 356 across the 34 of their papers we have counts for
7 papers · 1 filter
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments
DongKi Noh, Changki Sung, Teayoung Uhm +12
In robotics and computer vision communities, extensive studies have been widely conducted regarding surveillance tasks, including human detection, tracking, and motion recognition…
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…
eCDT: Event Clustering for Simultaneous Feature Detection and Tracking-
Sumin Hu, Yeeun Kim, Hyungtae Lim +2
Contrary to other standard cameras, event cameras interpret the world in an entirely different manner; as a collection of asynchronous events. Despite event camera's unique data ou…
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…
TRAVEL: Traversable Ground and Above-Ground Object Segmentation Using Graph Representation of 3D LiDAR Scans
Minho Oh, Euigon Jung, Hyungtae Lim +7
Perception of traversable regions and objects of interest from a 3D point cloud is one of the critical tasks in autonomous navigation. A ground vehicle needs to look for traversabl…
PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry
Dong-Uk Seo, Hyungtae Lim, Seungjae Lee +1
Numerous researchers have conducted studies to achieve fast and robust ground-optimized LiDAR odometry methods for terrestrial mobile platforms. In particular, ground-optimized LiD…
A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments
Hyungtae Lim, Suyong Yeon, Soohyun Ryu +6
Global registration using 3D point clouds is a crucial technology for mobile platforms to achieve localization or manage loop-closing situations. In recent years, numerous research…