Youngsoo Han — accepted AI-conference papers

2025

Enhancing Feature Tracking Reliability for Visual Navigation Using Real-Time Safety Filter

Dabin Kim, Inkyu Jang, Youngsoo Han, Sunwoo Hwang, H. Jin Kim

ICRA 2025

Vision sensors are extensively used for localizing a robot's pose, particularly in environments where global localization tools such as GPS or motion capture systems are unavailable. In many visual navigation systems, localization is achieved by detecting and tracking visual features or landmarks, w

Cited by 1 Source ↗Scholar ↗

2021

Automated Extrinsic Calibration for 3D LiDARs with Range Offset Correction using an Arbitrary Planar Board

Junha Kim, Changhyeon Kim, Youngsoo Han, H. Jin Kim

ICRA 2021poster

This paper proposes an automatic and accuracy- enhanced extrinsic calibration method for 3D LiDARs with a range offset correction, which needs only an arbitrarily-shaped single planar board. One of the most exhaustive parts of existing LiDAR calibration procedures is to manually find target objects…

Cited by 14 Source ↗code ↗Scholar ↗