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Ph.D. in EECS

Gwangju Institute of Science and Technology (GIST)

E-mail: crlee@gist.ac.kr

Research Interests

I am interested in Simultaneous Localisation and Mapping (SLAM) with low-cost heterogeneous sensors such as rolling shutter cameras and low-cost IMUs

SLAMcore Ltd., London, UK, Sep. 2018 - Apr. 2019
- SLAM Research Intern, working with Pablo F. Alcantarilla and Andrew Davison

Gwangju Institute of Science and Technology (GIST), South Korea, Mar. 2013 - Aug. 2019
- Ph.D., School of Electronic Engineering and Computer Science,
GIST, South Korea, Mar. 2011 - Feb. 2013
- M.S., School of Information and Mechatronics
Kwangwoon University, South Korea, Mar. 2004 - Feb. 2011
- B.S., Information Control Engineering

Chang-Ryeol Lee and Kuk-Jin Yoon, Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles, IET Intelligent Transport Systems (ITS), 2019.
Chang-Ryeol Lee, Ju Hong Yoon and Kuk-Jin Yoon, Calibration and Noise Identification of a Rolling Shutter Camera and a Low-cost IMU, MDPI Sensors, 2018.
Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon, Structural Constraint Data Association for Online Multi-Object Tracking, International Journal of Computer Vision (IJCV), 2018.
Yeong Won Kim*, Chang-Ryeol Lee*, Dae-Yong Jo, Hyeok-Jae Choi, Yong Hoon Kwon, and Kuk-Jin Yoon, Automatic Content-aware Projection for 360° Videos, IEEE International Conference on Computer Vision (ICCV), 2017.
Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon, Online Multi-object Tracking via Structural Constraint Event Aggregation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Chang-Ryeol Lee, Ju Hong Yoon and Kuk-Jin Yoon, Robust Calibration of an Ultra-Low-Cost Inertial Measurement Unit and a Camera: Handling of Severe System Uncertainty, IEEE International Conference on Robotics and Automation (ICRA), 2014.

Chang-Ryeol Lee, Kuk-Jin Yoon, Fusion of Camera, IMU, and Speedometer for Localization of Autonomous Vehicles, The 30th Workshop on Image Processing and Image Understanding, Korea, 2018.
Chang-Ryeol Lee and Kuk-Jin Yoon, Calibration between an Ultra-Low-Cost Inertial Measurement Unit and a Camera Using Angular Velocity Constraint, The 26th Workshop on Image Processing and Image Understanding, Korea, 2014.
Chang-Ryeol Lee and Kuk-Jin Yoon, Robust IMU-camera calibration using constraints, The 25th Workshop on Image Processing and Image Understanding, Korea, 2013

Visual attention estimation and image projection for 360° videos, funded by Samsung Electronics, Korea, May. 2016 - Feb. 2017
6-DOF pose estimation using an IMU and a camera, funded by Samsung Electronics, Korea, Mar. 2016 - Nov. 2016
Depth-based face detection for online monitoring of audiences in cultural performance, funded by Korea Creative Content Agency (KOCCA), Apr. 2015 - Mar. 2016
Active stereo matching in mobile environments, funded by Samsung Electronics, Korea, Nov. 2013 - Sep. 2014
Micro-endoscopic image stitching, funded by Samsung Electronics, Korea, Mar. 2013 - Dec. 2013
3D environment map generation using a camera and a 2D laser range finder (LRF), funded by Korea Institute of Science and Technology (KIST), Sep. 2011 - Aug. 2012

Journal Reviewer
- MDPI Applied Sciences, 2020
- MDPI Sensor, 2019
- IET Electronic Letters (EL), 2018
- IEEE Transactions on Image Processing (TIP), 2018
- IEEE Transactions on Robotics (TRO), 2014
Conference Reviewer
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Summer School: International Computer Vision Summer School (ICVSS), 2013

Paper Award, the 30th Workshop on Image Processing and Image Understanding, 2018
The 22th Humantech Paper Award supported by Samsung, Bronze Prize ($5,000), Feb, 2016
Best Paper Award, the 26th Workshop on Image Processing and Image Understanding, 2014
Government Scholarship, GIST, 2011-2016
Dasan Scholarship, GIST, 2011, 2013
Academic Scholarship, Kwangwoon University, 2004, 2009, 2010