Wonjune Kim

Started my Ph.D. at KAIST in the Computer Vision and Learning Lab (KCVL).

Our paper on class-distribution guided active learning for 3D occupancy prediction has been accepted to IEEE RA-L.

Received my M.S. in Robotics from KAIST and joined the Mobility AI Convergence Research section at ETRI.

ETRI, Mobility AI Convergence Research

Researcher, with Su-Yong An

Perception for unstructured driving environments and LiDAR-based vegetation growth measurement.

ETRI, Smart Farm Application Research

Research Intern, with Su-Yong An

Vision-based worker-following mobile robot system.

KAIST

Ph.D. in AI Computing

Computer Vision and Learning Lab (KCVL), advised by Prof. Tae‑Kyun Kim

KAIST

M.S. in Robotics Program

AXELAB, advised by Prof. Dongsuk Kum

Thesis: Class distribution-based active learning for 3D occupancy prediction in autonomous driving

Kookmin University

B.S. in Automobile and IT Convergence

Cloud-based Autonomous Driving AI Learning Software Development

Funded by the Ministry of Science and ICT

• Custom dataset preprocessing and 3D object detection model training

Establishment of a Testbed Environment for Lv.4 Self-Driving Vehicles

Funded by the Ministry of Land, Infrastructure and Transport

• Camera–radar data preprocessing
• Camera integration and environment setup on the vehicle

Vision-based Pick-and-Place with a 6-DOF Manipulator

Capstone design, Kookmin University

• Designed a servo-driven end-effector
• Vision-guided pick-and-place control via inverse kinematics

2nd Place, GOOSE 2D Semantic Segmentation Challenge

ICRA 2025 Field Robotics Workshop. Semantic segmentation for unstructured driving environments.

Outstanding Paper Award

Korean Institute of Intelligent Systems. Vision-based worker following mobile robot system.

Gold Prize (Minister of Science and ICT Award), Hanium ICT Contest

Development of an apartment delivery robot.

Encouragement Prize, Creative Automobile Contest of Autonomous Driving

LiDAR-based obstacle-avoidance driving control algorithm.

ICRA 2026