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Suyoung Kang

Undergraduate Student Researcher

Interests

  • Spatial Computing
  • 3D Scene Understanding
  • Deep Learning for Navigation
  • Sensor Fusion

Career Profile

My research interest includes Visual Odometry (VO), Simultaneous Localization and Mapping (SLAM), Structure-from-Motion, Visual Navigation, and 3D Computer Vision for Robotics

Education

BSc in Electroncis Engineering

2019 - 2024
Sookmyung Women's University

Experiences

Undergraduate Student Researcher

Dec, 2021 - present
Machine Perception and Intelligence Lab (MPIL)

Participated in research related to 3D computer vision and machine perception for robotics and automation as a member of the Machine Perception and Intelligence Lab.

Publications

  • Astrobee ISS Free-Flyer Datasets for Space Intra-Vehicular Robot Navigation Research
    • Suyoung Kang, Ryan Soussan, Daekyeong Lee, Brian Coltin, Andres Mora Vargas, Marina Moreira, Kathryn Hamilton, Ruben Garcia, Maria Bualat, Trey Smith, Jonathan Barlow, Jose Benavides, Eunju Jeong, and Pyojin Kim*
    (minor revision) IEEE Robotics and Automation Letters (RA-L), 2023
  • Linear Four-Point LiDAR SLAM for Manhattan World Environments
    • Eunju Jeong, Jina Lee, Suyoung Kang, Pyojin Kim*
    IEEE Robotics and Automation Letters (RA-L), 2023
  • Complex-Motion NeRF: Joint Reconstruction and Pose Optimization with Motion and Depth Priors
    • Hyunjin Kim, Daekyeong Lee, Suyoung Kang, Pyojin Kim*
    IEEE Access, 2023
  • Parsing Indoor Manhattan Scenes Using Four-Point LiDAR on a Micro UAV
    • Eunju Jeong, Suyoung Kang, Daekyeong Lee, Pyojin Kim*
    ICCAS, 2022

    Awards

  • 2023 World Creative Robot Contest, Korea Institute for Robot Industry Advancement Award
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  • 2022 X-Corps+ Competition, Silver Prize Awarded by Ministry of Science and ICT & National Research Foundation of Korea
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  • 2022 SMU Capstone Design Competition, Grand Prize
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  • 2021 SMU Capstone Design Competition for Engineering Majors (MEIT), Vice-Chancellor Award
    •

    Patents

  • Urban air mobility aerial wireless charging system with magnetic resonance charging method
    • Suyoung Kang, J Kim, T Kim, J Shin, E Lee
    KR 10-2023-0039529, patent application

    Skills & Proficiency

    MATLAB

    C/C++

    Python

    ROS

    Docker