I’m Hyungtae Lim who is on Ph.D course at KAIST in South Korea and studies robotics. My research topic is about 3D geometry, in particular, I’ve focused on perceiving the surroundings in a robust manner and localizing robot platforms, including mobile robots and autonomous vehicles. I propose various methods for dealing with the effect of dynamic objects, which is one of the important factors to be considered in real-world applications.

(Korean version is also available on my Notion page)

Education

  • Ph.D candidate Electrical Engineering(also complete Robotics Program) / KAIST - 2020.03~ 2023.02
    • Thesis (Eng.) - Robust LiDAR SLAM Framework for Autonomous Vehicles Leveraging Ground Segmentation
    • Thesis (Kor.) - 지면 인식 기반 지상형 자율주행 로봇을 위한 강인한 라이다 SLAM 프레임워크
  • M.S Electrical Engineering(also complete Robotics Program) / KAIST - 2018.03~2020.02
    • Thesis (Eng.) - Two-stage Depth Prediction using a 2D LiDAR and a Monocular Camera via Deep Learning
    • Thesis (Kor.) - 2D 라이다와 단일 카메라를 이용한 이단식 딥러닝 네트워크 기반 3D 깊이 추정 방법
  • B.S Mechanical Engineering / KAIST - 2013.03~2018.02

Experience

  • Invited Visiting Scholar at StachnissLab, Univ. Bonn, Germany - 2022.11 ~ 2023.02
  • Ouside Expert of CTO Division of LG Electronics - 2022.03 ~
  • CV / Deep Learning Research Intern, NAVER LABS Corp. 2021.04 ~ 2021.09 (6 months)

Honors

  • Received Kim Sung-bue Creative Activity Award, from KAIST - 2020.07
  • Received Han Cheolhui Augustine Scholarship, from EE, KAIST - 2019.04
  • Listed on Dean’s list of ME, KAIST (GPA 4.23/4.3 at the semester) - Fall semester, 2015

Awards

  • Student Best Paper Award in ICCAS 2020 - 2020.10
  • Hitachi-LG LiDAR application Competition, Grand Prize ($ 5,000) - 2019.08
  • 2018 Smart City Service and Start-up Competition, Excellence Prize - 2018.09

Fun Facts

I won the grand prize at Taeul Singing Competition, which is the largest singing competition of Chungcheong four years in a row!

Contact

shapelim@kaist.ac.kr