Minho Cho

About

Minho Cho is a leading researcher in autonomous systems, with a primary focus on 3D LiDAR-based perception and multi-object tracking (MOT). His work addresses a critical challenge in self-driving vehicles and delivery robots: reliably tracking multiple moving objects in dynamic 3D environments. Cho’s most cited paper, "3D LiDAR Multi-Object Tracking with Short-Term and Long-Term Multi-Level Associations" (2023, 19 citations), introduces a novel approach built on the Tracking-by-Detection paradigm. His key contribution lies in developing a multi-level association framework that effectively handles both short-term occlusions and long-term re-identification of objects, significantly improving tracking robustness in complex real-world scenarios. This work has been recognized for advancing the reliability of autonomous navigation systems. With a growing citation impact, Cho’s research is shaping the future of safe and efficient autonomous mobility, making him a notable figure in the field of intelligent transportation and robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   3D LiDAR Multi-Object Tracking with Short-Term and Long-Term Multi-Level Associations

   19 citations · 2023

Key Collaborators

Contact & Links