Seungchan Mok

E-mail : msc9533@gmail.com Github : msc9533

  • Birth : 30 Mar, 1995, in Republic of Korea
  • Nationality : Korean
  • Language : Korean(Native), English(Conversant)
  • Skills : C++, Python, ROS, Tensorflow, Pytorch

Education

2020 -

MS, Intelligent Robotics Laboratory(IRL), Department of Control and Robot Engineering ; Chungbuk National University (Cheongju, Korea)

2014-2020

BSc, Department of Electric Engineering; Chungbuk National University (Cheongju, Korea)

Minor: Smart-car Engineering

Research Interest

  • Simultaneous Localization And Mapping (SLAM)
  • Generative Advesarial Network (GAN)

International Conferences

  • Mok, Seung-chan, and Gon-woo Kim. “Simulated Intensity Rendering of 3D LiDAR using Generative Adversarial Network.” 2021 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2021.
  • S. Mok, et al. “Adaptive Threshold Selection Method based on Sliding Window for LiDAR Road Marker Detection”, 2020 17th International Conference on Ubiquitous Robots (UR). IEEE, 2020.

Domestic Conferences

  • S. Mok, et al. “HD-Map Based Avoidance Path Planning Method”, 2020 15th Korea Robotics Society Annual Conference (KRoC 2020).

Research Experiences

Awards and Honors