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Achievement: Starstruckx3Achievement: Pull Shark

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@url-kaist

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seungjae24/README.md

Hi there 👋 I'm Seungjae Lee 🧑‍💻

  • 🔭 Now, Ph. D. candidate in the School of Electrical Engineering at KAIST, Urban Robotics Lab.
  • 🌱 Currently interested in 3D Vision ☁️, LiDAR SLAM 🗺️, and Deep Learning 🧠.
  • 👨‍🎓 Education
    • M.S. KAIST EE, Urban Robotics Lab (Aug. 2023)
    • B.S. KAIST EE & ME (double major) (Feb. 2021)
  • 🧑‍💻 Work Experience
    • Research internship in NAVER LABS (Aug. 2023 - Feb. 2024, Computer Vision & Deep Learning).
    • Internship in Twinny (Jan. 2021 - Jul. 2021)

KAIST - Korea Advanced Institute of Science and Technology
EE - Electrical Engineering / ME - Mechanical Engineering

  • 🤖 IROS 2022 (Oct. 23 - 27, 2022. Kyoto)
    • Introduced a fast and robust ground segmentation for 3D LiDAR point cloud, Patchwork++.
    • Try Patchwork++ using C++ or Python. The code is available at here!
    • ROS version is also available at here.

  • 🐕 ICRA 2023 (May 30. - Jun. 1, 2023. London)

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  1. url-kaist/patchwork-plusplus url-kaist/patchwork-plusplus Public

    Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

    C++ 637 103

  2. url-kaist/patchwork-plusplus-ros url-kaist/patchwork-plusplus-ros Public

    ROS & ROS2 Implementation of Patchwork++

    C++ 316 67