Hyeonjae Jeon — 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 ↗

2022

CARLA Simulator-Based Evaluation Framework Development of Lane Detection Accuracy Performance Under Sensor Blockage Caused by Heavy Rain for Autonomous Vehicle

Hyeonjae Jeon, YaeOhn Kim, Minyoung Choi, Donggeon Park, Sungho Son, Jungki Lee +2

RA-L 2022

As self-driving cars have been developed targeting level 4 and 5 autonomous driving, the capability of the vehicle to handle environmental effects has been considered importantly. The sensors installed on autonomous vehicles can be easily affected by blockages (e.g., rain, snow, dust, fog, and other

Cited by 17 Source ↗Scholar ↗