Our journal paper “Range-Aware Camera–LiDAR Fusion for Efficient Long-Range Omnidirectional Depth Estimation” has been accepted for publication in IEEE Robotics and Automation Letters (RA-L).
CHONNAM NATIONAL UNIVERSITY
Artificial Intelligence
& Mobility
Laboratory
AIM Lab · Chonnam National University
At AIM Lab, Chonnam National University, we research and develop core technologies for AI-based autonomous driving.
OUR RESEARCH
Research areas
FROM THE LAB
Latest news
All newsSungyoon Kwon and Junseo Park joined AIM Lab.
Our journal paper “Real-Time LiDAR Localization on 3D Gaussian Splatting Maps using Hash-Map Search” was accepted to Journal of Digital Contents Society.
Byengjae Ko joined AIM Lab.
OUR WORK
Selected publications
All publicationsAWV-MOS-LIO: Adaptive Window Visibility based Moving Object Segmentation with LiDAR Inertial Odometry
IEEE Transactions on Intelligent Vehicles, Volume 10, Issue 5
SCIEIF: 14.0, Top 1.3%
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network
Expert Systems with Applications, Volume 212, 118815
SCIEIF: 8.656, Top 8.15%
