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Younghun Cho

Vehicle Localization Engineer

Education

Ph.D. in Civil and Environmental Engineering

KAIST
2020 - Current

M.S. in Civil and Environmental Engineering

KAIST
2018 - 2020

B.S. in Civil and Environmental Engineering

KAIST
2014 - 2018

Profile

I am a Ph.D. candidate in IRiS Lab., KAIST advised by Prof. Jee-Hwan Ryu. I obtained an M.S.(2020) at IRAP Lab., KAIST (currently RPM Robotics Lab in SNU) advised by Prof. Ayoung Kim. My research topic focuses on the localization of autonomous vehicles without the usage of HD maps.

Experiences

Team Leader

2022
Autonomous Vehicle Challenge by Ministry of Trade, Industry, and Energy

I mainly took charge of the planning part and developed global, local, speed, and behavior planning, including vehicle and pedestrian avoidance. Also, I managed the whole team as a team leader.

Research Intern

2020 - 2021
NAVER LABS

I participated in coverage path planning research for LiDAR data acquisition.

Publications

The following are the papers I have participated in. They are sorted in time order.

  • STheReO: Stereo Thermal Dataset for Research in Odometry and Mapping
    • Seungsang Yun, Minwoo Jung, Jeongyun Kim, Sangwoo Jung, Younghun Cho, Myung-Hwan Jeon, Giseop Kim, and Ayoung Kim
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
  • OpenStreetMap-based LiDAR Global Localization in Urban Environment without a Prior LiDAR Map
    • Younghun Cho, Giseop Kim, Sang-min Lee, and Jee-Hwan Ryu
    IEEE Robotics and Automation Letters, 2022 (with ICRA 2022)
  • RL-based Path Planning for SLAM Uncertainty Minimization in Urban Mapping
    • Younghun Cho and Ayoung Kim
    The Journal of Korea Robotics Society, 2021
  • Mulran: Multimodal range dataset for urban place recognition
    • Giseop Kim, Yeong Sang Park, Younghun Cho, Jinyong Jeong, and Ayoung Kim
    IEEE International Conference on Robotics and Automation (ICRA), 2020
  • Path Pre-planning Optimizing SLAM Uncertainty using Reinforcement Learning
    • Advised by Prof. Ayoung Kim
    M.S. Thesis (Civil and Environmental Engineering, KAIST), 2020
  • The road is enough! Extrinsic calibration of non-overlapping stereo camera and LiDAR using road information
    • Jinyong Jeong, Younghun Cho, and Ayoung Kim
    IEEE Robotics and Automation Letters, 2019

    Services

    Reviewers

  • IEEE Robotics and Automation Letters (RA-L, 2022)
  • IEEE International Conference on Intelligent Robots and Systems (IROS, 2022)
  • IEEE International Conference on Ubiquitous Robots (UR, 2022)
  • IEEE International Conference on Robotics and Automation (ICRA, 2021, 2023)

    • Teaching Assistants

  • CE481 (Sensor-based Spatial Intelligence), CEE, KAIST (2020)
  • CE554 (Mechanical Design of Civil Robot), CEE, KAIST (2018)
  • CE352 (Signal and System for Construction IT), CEE, KAIST (2017, 2019, 2021)

    • Others

  • Graduate School Student President, CEE, KAIST (2021 - 2022)

    • Skills & Proficiency

    Programming and Tools

  • ROS, C/C++, Python/PyTorch, MATLAB, QGIS, ...

    • Languages

  • Korean (Native), English (Fluent)