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Hi there πŸ‘‹ I'm Seungjae Lee πŸ§‘β€πŸ’»

  • πŸ”­ Now, Ph. D. student at School of Electrical Engineering, KAIST, Urban Robotics Lab.
  • 🌱 Currently interested in 3D Vision ☁️, LiDAR SLAM πŸ—ΊοΈ, and Deep Learning 🧠.
  • πŸ‘¨β€πŸŽ“ Education
    • Master degree, KAIST EE, Urban Robotics Lab.
    • Bachelor degree, KAIST EE & ME (double major).
  • πŸ§‘β€πŸ’» Work Experience
    • Research internship in NAVER LABS (Aug. 2023 - Feb. 2024, Computer Vision & Deep Learning).

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

  • πŸ€– 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.

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

Seungjae Lee's Projects

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

pv-lio icon pv-lio

A probabilistic voxelmap-based LiDAR-Inertial Odometry.

pytorch_basic icon pytorch_basic

To study how to use PyTorch for implementing machine learning

rellis-3d icon rellis-3d

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

voxelmap icon voxelmap

[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry

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