Junghyun Seo — accepted AI-conference papers

2024

BEV Image-based Lane Tracking Control System for Autonomous Lane Repainting Robot

Junghyun Seo, Hyeonjae Jeon, Joonyoung Choi, Kwangho Woo, Yongseob Lim, Yongsik Jin

IROS 2024poster

In this paper, we present a novel study on a BEV (bird’s eye view) image-based lane tracking control system for an autonomous lane repainting robot. Our research introduces a cutting-edge lane detection method based on BEV images, leveraging row-anchor techniques to enhance precision and provide det…

Cited by 0 Source ↗Scholar ↗

2023

Horizontal Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching

Sungjun Wang, Junghyun Seo, Hyunjae Jeon, Sungjin Lim, Sanghyun Park, Yongseob Lim

RA-L 2023

The emergence of convolutional neural networks (CNNs) has led to significant advancements in various computer vision tasks. Among them, stereo matching is one of the most popular research areas that enables the reconstruction of 3D information, which is difficult to obtain with only a monocular came

Cited by 3 Source ↗Scholar ↗