Hyun-Bin Lim

About

Hyun-Bin Lim is a researcher focused on advancing autonomous perception systems, particularly in the domain of low-resolution LiDAR data processing. His most cited work, "Low-Resolution LiDAR Upsampling Using Weighted Median Filter" (2021), tackles a critical challenge in cost-effective autonomous driving: enhancing sparse, low-cost sensor data to improve object detection and scene understanding. By introducing a weighted median filter approach, Lim demonstrated how to effectively upsample LiDAR point clouds, preserving edge details while reducing noise—a contribution that bridges the gap between affordable sensors and high-performance perception. Though early in his career, with this paper accumulating 4 citations, his work signals a growing impact in robotics and computer vision communities. Lim's research addresses practical constraints in real-world deployment, making autonomous systems more accessible. His focus on sensor data enhancement positions him as a promising contributor to the field, with potential for further influence as low-resolution LiDAR becomes more prevalent in consumer and industrial applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Low-Resolution LiDAR Upsampling Using Weighted Median Filter

   4 citations · 2021

Key Collaborators

Contact & Links