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주경돈
Joo, Kyungdon

주경돈

Graduate School of Artificial Intelligence(인공지능대학원)

  • Robotics and Visual Intelligence Lab.
  • Website
Research Interests
Computer vision;Robotics vision;Machine learning;Deep Learning;컴퓨터 비전;로보틱스;머신러닝;딥러닝;로보틱스 비전
Lab Description
Our lab aims to develop cutting-edge computer vision, robotics vision, and machine (deep) learning algorithms. Specifically, our research mainly focuses on 3D computer vision with a particular focus on geometric aspects. Our goal is to give the capability to a system (e.g., robots and autonomous vehicles) to understand and interpret various data in a manner that is similar to the way humans use their senses to relate to the world around them. To achieve this goal, we focus on processing and analyzing various sensor data such as image, video, 3D point cloud, and other sensory data. Currently, we are working on the following research topics:- 3D Computer Vision and Geometry- Robotics Vision- Urban Scene Understanding- Simultaneous Localization and Mapping- Sensor Fusion
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Learning-based reflection-aware virtual point removal for large-scale 3D point clouds File

Lee, Oggyu , Joo, Kyungdon , Sim, Jae-Young

Article Issue Date2023-12 View9
Hong Kong World: Leveraging Structural Regularity for Line-based SLAM File

Li, Haoang , Zhao, Ji , Bazin, Jean-Charles , Kim, Pyojin , Joo, Kyungdon , Zhao, Zhenjun , Liu, Yun-Hui

Article Issue Date2023-11 View9
Linear RGB-D SLAM for Structured Environments File

Joo, Kyungdon , Kim, Pyojin , Martial Hebert , Kweon, In So , Kim, Hyoun Jin

Article Issue Date2022-11 View6
Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks File

Joo, Kyungdon , Li, Hongdong , Oh, Tae-Hyun , Kweon, In So

Article Issue Date2022-09 View6
Adaptive Cost Volume Fusion Network for Multi-Modal Depth Estimation in Changing Environments File

Park, Jinsun , Jeong, Yongseop , Joo, Kyungdon , Cho, Donghyeon , Kweon, In So

Article Issue Date2022-04 View5
Quasi-Globally Optimal and Real-Time Visual Compass in Manhattan Structured Environments File

Kim, Pyojin , Li, Haoang , Joo, Kyungdon

Article Issue Date2022-04 View2
Real-Time Multi-Car Localization and See-Through System File

Rameau, Francois , Bailo, Oleksandr , Park, Jinsun , Joo, Kyungdon , Kweon, In So

Article Issue Date2022-01 View4
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation File

Choe, Jaesung , Joo, Kyungdon , Imtiaz, Tooba , Kweon, In So

Article Issue Date2021-07 View6
Globally Optimal Inlier Set Maximization for Atlanta World Understanding File

Joo, Kyungdon , Oh, Tae-Hyun , Kweon, In So , Bazin, Jean-Charles

Article Issue Date2020-10 View3
Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras File

Im, Sunghoon , Ha, Hyowon , Choe, Gyeongmin , Jeon, Hae-Gon , Joo, Kyungdon , Kweon, In So

Article Issue Date2019-04 View1
Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time File

Joo, Kyungdon , Oh, Tae-Hyun , Kim, Junsik , Kweon, In So

Article Issue Date2019-03 View5
Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution File

Bailo, Oleksandr , Rameau, Francois , Joo, Kyungdon , Park, Jinsun , Bogdan, Oleksandr , Kweon, In So

Article Issue Date2018-04 View2
Robot System of DRC-HUBO plus and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals File

Lim, Jeongsoo , Lee, Inho , Shim, Inwook , Jung, Hyobin , Joe, Hyun Min , Bae, Hyoin , Sim, Okkee , Oh, Jaesung , Jung, Taejin , Shin, Seunghak , et al

Article Issue Date2017-06 View6
A Real-time Augmented Reality System to See-Through Cars File

Rameau, Francois , Ha, Hyowon , Joo, Kyungdon , Choi, Jinsoo , Park, Kibaek , Kweon, In So

Article Issue Date2016-11 View6
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