Seoyeon Jang — accepted AI-conference papers

2026

Chamelion: Reliable Change Detection for Long-Term LiDAR Mapping in Transient Environments

Seoyeon Jang, Alex Junho Lee, I Made Aswin Nahrendra, Hyun Myung

RA-L 2026

Online change detection is crucial for mobile robots to efficiently navigate through dynamic environments. Detecting changes in transient settings, such as active construction sites or frequently reconfigured indoor spaces, is particularly challenging due to frequent occlusions and spatiotemporal va

Cited by 0 Source ↗code ↗Scholar ↗

2024

HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors

Hyungtae Lim, Seoyeon Jang, Benedikt Mersch, Jens Behley, Hyun Myung, Cyrill Stachniss

IROS 2024

Moving object segmentation (MOS) using a 3D light detection and ranging (LiDAR) sensor is crucial for scene understanding and identification of moving objects. Despite the availability of various types of 3D LiDAR sensors in the market, MOS research still predominantly focuses on 3D point clouds fro

Cited by 13 Source ↗Scholar ↗