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Hunyoul Lee

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Articles

Spatially divided outlier removal for LiDAR de-noising in adverse weather conditions

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By Jaehan Joo, Suk Chan Kim, Sangkyu Shin, Hunyoul Lee
| Nature Verified
Abstract Adverse weather conditions, such as rain and snow, significantly degrade the performance of Light Detection and Ranging (LiDAR) perception systems, creating a demand for real-time and high-precision denoising algorithms. This paper proposes a novel LiDAR point cloud denoising method, Spatially Divided Outlier Removal (SDOR), which spatially divides the point cloud into multiple sectors and processes them in parallel to reduce execution time.
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