E In Son — accepted AI-conference papers

2024

Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments

Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E In Son, Se-Wook Yoo, Seung-Woo Seo

RA-L 2024

Traversability estimation is a core function for robot navigation in off-road unstructured environments and diverse research results have been published so far. One of the recent approaches is using the self-supervised learning (SSL) technique. SSL has been focused on as a breakthrough technique for

Cited by 13 Source ↗Scholar ↗

2024

Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues

Yurim Jeon, E In Son, Seung-Woo Seo

ICRA 2024poster

In this study, we address the off-road traversability estimation problem, that predicts areas where a robot can navigate in off-road environments. An off-road environment is an unstructured environment comprising a combination of traversable and non-traversable spaces, which presents a challenge for…

Cited by 3 Source ↗code ↗Scholar ↗