Stereo Visual SLAM Enhancement

Nov 28, 2024 · 1 min read
projects

Research project at UNIST.

TBA

References

  • Bailo, O., Rameau, F., Joo, K., Park, J., Bogdan, O., and Kweon, I. S. (2018). Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution. Pattern Recognition Letters, 106, 53-60.
  • Campos, C., Elvira, R., Gomez, J. J., Montiel, J. M. M., and Tardos, J. D. (2021). ORB-SLAM3: An accurate open-source library for visual, visual-inertial and multi-map SLAM. IEEE Transactions on Robotics, 37(6), 1874-1890.
Taehun Ryu
Authors
M.S. Student
I’m currently pursuing an M.S. in Artificial Intelligence at UNIST and working in the 3D Vision & Robotics Lab advised by Prof. Kyungdon Joo. I received B.S. in Robotics from Hanyang University ERICA, South Korea in 2024. My research focuses on sensor calibration, visual SLAM, and event-based vision for robotics.