most citedDynaVINS: A Visual-Inertial SLAM for Dynamic Environments

9 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

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…

cs.RO2022

Low-cost Thermal Mapping for Concrete Heat Monitoring

Alex Junho Lee, Younggun Cho, Hyun Myung

Robotics has been widely applied in smart construction for generating the digital twin or for autonomous inspection of construction sites. For example, for thermal inspection durin…

cs.RO2022★ 9 cited

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…