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Daeho Kim



Daeho Kim
E-Maill, Google Scholar, Github

About

My primary research interest lies in Embodied AI. I have been focusing on foundational research to develop autonomous robots and aspire to conduct meaningful research towards a world where humans and robots coexist harmoniously.


Research

Camera-LiDAR Extrinsic Calibration using Constrained Optimization with Circle Placement
Daeho Kim, Seunghui Shin, and Hyoseok Hwang*
IEEE Robotics and Automation Letters (RA-L), 2024, (ICRA 2025 presentation)

paper / code 

We proposes a method to address this issue by generating a probability distribution from the LiDAR point cloud and utilizing the Lagrangian-multipliers of a known target circle placement to extract more accurate features.

PAIR360: A Paired Dataset of High-Resolution 360◦ Panoramic Images and LiDAR Scans
Geunu Kim, Daeho Kim, Jaeyun Jang and Hyoseok Hwang*
IEEE Robotics and Automation Letters (RA-L), 2024, (ICRA 2025 presentation)

paper / dataset 

This dataset provides 360 equirectangular image set with LiDAR point cloud from Insta360 pro2 - Velodyne VLP-32C system.

Projects (Company, Technical Reports) 

  • Developing OHT position-aware sensor technology, with CanTops, 2024-2025

      • Camera-Marker Pose Estimation / Localization / Line-scanner 

  • Pick and Place system with 6-DOF Pose Estimation using DOPE, project, 2023

      • Pick and Place / 6-DOF Pose estimateion / Domain Generalization

  • Camera-LiDAR Extrinsic Calibration using an Ordinary Box, code, 2022

      • Extrinsic Calibration / Sequential-RANSAC

Teaching Assistant 

  • SWCON36600: 3D Data Processing, 2024 

  • SWCON33100: Robot Programming, 2023 

 

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