A Unified Denoising Framework for Restoring the LiDAR Point Cloud Geometry of Reflective Targets

A Unified Denoising Framework for Restoring the LiDAR Point Cloud Geometry of Reflective Targets

LiDAR point clouds of reflective targets often contain significant noise, which severely impacts the feature extraction accuracy and performance of object detection algorithms. These challenges present substantial obstacles to point cloud processing and its applications. In this paper, we propose a...

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Bibliographic Details
Main Authors: Tianpeng Xie, Jingguo Zhu, Chunxiao Wang, Feng Li, Zhe Meng
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
LiDAR point cloud
reflective targets
veiling effect
blooming effect
alpha shape
adaptive error ellipse
Online Access:https://www.mdpi.com/2076-3417/15/7/3904
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