9 citations · 16 across the 20 of their papers we have counts for
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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…
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…
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…
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…
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…