Pathum Rathnayaka
Papers
1
Total Citations
4
H-Index
1
About
Pathum Rathnayaka is a researcher focused on advancing autonomous perception systems, particularly through the enhancement of low-cost LiDAR technology. His work addresses a critical bottleneck in robotics and autonomous driving: achieving high-resolution 3D sensing without the prohibitive expense of premium sensors. His most-cited paper, "Low-Resolution LiDAR Upsampling Using Weighted Median Filter" (2021, 4 citations), introduces a novel algorithm that intelligently interpolates sparse point cloud data. By applying a weighted median filter, Rathnayaka’s method preserves sharp edges and fine structural details—often lost in traditional upsampling—effectively mimicking the output of high-resolution sensors. This contribution is vital for improving object detection and scene understanding in cost-sensitive applications. Though early in his career, his work signals a practical, computationally efficient path toward democratizing advanced perception, making autonomous systems more accessible and reliable.
Research Focus
Key Achievements
Top Papers
- 1Low-Resolution LiDAR Upsampling Using Weighted Median Filter4 citations · 2021