My fields of interest are robotic perception, computer vision, and deep learning. I have done various related projects using LiDAR sensors and stereo cameras. I also served in the Republic of Korea Army for two years, during which I was deployed to Arab Emirates for eight months as a part of the Army Special Forces.
SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D PointClouds of a Crowded Indoor Space
Min Young Chang, Suyong Yeon, Soohyun Ryu, and Donghwan Lee
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. Las Vegas, USA.
Graduate Student Intern at Clova AI
Implemented a deep learning-based lane detection algorithm. Achieved 93.5% recall rate and 97.8% precision rate for road images with high traffic. Managed a data annotation team for labeling a large complicated Korean road data set.
Graduate Student Intern at NAVER LABS
The first author of "SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces" (IEEE/RSJ IROS 2020). Preprocessed large, messy 3D point cloud data of VLP-16 LiDAR sensors. Developed an algorithm that rapidly removes moving objects in 3D point clouds
ROK Army Special Forces in Arab Emirates
AKH Unit, Zayed Military City, UAE
Combined special warfare exercises with UAE Special Forces, Combined counter-terrorism exercises with UAE Underwater Demolition Team(UDT), and external relations with UAE Ministry of Defense and Special Operations Command.
New York, NY