Classification of Typical Static Objects in Road Scenes Based on LO-Net

Classification of Typical Static Objects in Road Scenes Based on LO-Net

Mobile LiDAR technology is a powerful tool that accurately captures spatial information about typical static objects in road scenes. However, the precise extraction and classification of these objects pose persistent technical challenges. In this paper, we employ a deep learning approach to tackle t...

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Bibliographic Details
Main Authors: Yongqiang Li, Jiale Wu, Huiyun Liu, Jingzhi Ren, Zhihua Xu, Jian Zhang, Zhiyao Wang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
PointNet++
graph convolution
upsampling
space pyramid pool
mobile LiDAR
point cloud classification
Online Access:https://www.mdpi.com/2072-4292/16/4/663

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https://www.mdpi.com/2072-4292/16/4/663

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