9 citations · 18 across the 24 of their papers we have counts for
11 papers · 1 filter
MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
Hyesu Jang, Wooseong Yang, Hanguen Kim +12
Maritime environmental sensing requires overcoming challenges from complex conditions such as harsh weather, platform perturbations, large dynamic objects, and the requirement for…
Quantitative 3D Map Accuracy Evaluation Hardware and Algorithm for LiDAR(-Inertial) SLAM
Sanghyun Hahn, Seunghun Oh, Minwoo Jung +2
Accuracy evaluation of a 3D pointcloud map is crucial for the development of autonomous driving systems. In this work, we propose a user-independent software/hardware system that c…
Co-RaL: Complementary Radar-Leg Odometry with 4-DoF Optimization and Rolling Contact
Sangwoo Jung, Wooseong Yang, Ayoung Kim
Robust and accurate localization in challenging environments is becoming crucial for SLAM. In this paper, we propose a unique sensor configuration for precise and robust odometry b…
ConPR: Ongoing Construction Site Dataset for Place Recognition
Dongjae Lee, Minwoo Jung, Ayoung Kim
Place recognition, an essential challenge in computer vision and robotics, involves identifying previously visited locations. Despite algorithmic progress, challenges related to ap…
Fieldscale: Locality-Aware Field-based Adaptive Rescaling for Thermal Infrared Image
Hyeonjae Gil, Myung-Hwan Jeon, Ayoung Kim
Thermal infrared (TIR) cameras are emerging as promising sensors in safety-related fields due to their robustness against external illumination. However, RAW TIR image has 14 bits…
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…
Adaptive LiDAR-Radar Fusion for Outdoor Odometry Across Dense Smoke Conditions
Chiyun Noh, Ayoung Kim
Robust odometry estimation in perceptually degraded environments represents a key challenge in the field of robotics. In this paper, we propose a LiDAR-radar fusion method for robu…
2D Ego-Motion with Yaw Estimation using Only mmWave Radars via Two-Way weighted ICP
Hojune Kim, Hyesu Jang, Ayoung Kim
The interest in single-chip mmWave Radar is driven by their compact form factor, cost-effectiveness, and robustness under harsh environmental conditions. Despite its promising attr…
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…
Unbiased Estimator for Distorted Conics in Camera Calibration
Chaehyeon Song, Jaeho Shin, Myung-Hwan Jeon +2
In the literature, points and conics have been major features for camera geometric calibration. Although conics are more informative features than points, the loss of the conic pro…
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…