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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Detaylı Bibliyografya
Asıl Yazarlar: Yongqiang Li, Jiale Wu, Huiyun Liu, Jingzhi Ren, Zhihua Xu, Jian Zhang, Zhiyao Wang
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2024-02-01
Seri Bilgileri:Remote Sensing
Konular:
PointNet++
graph convolution
upsampling
space pyramid pool
mobile LiDAR
point cloud classification
Online Erişim:https://www.mdpi.com/2072-4292/16/4/663

Internet

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

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