2D&3DHNet for 3D Object Classification in LiDAR Point Cloud

2D&3DHNet for 3D Object Classification in LiDAR Point Cloud

Accurate semantic analysis of LiDAR point clouds enables the interaction between intelligent vehicles and the real environment. This paper proposes a hybrid 2D and 3D Hough Net by combining 3D global Hough features and 2D local Hough features with a classification deep learning network. Firstly, the...

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Bibliographic Details
Main Authors: Wei Song, Dechao Li, Su Sun, Lingfeng Zhang, Yu Xin, Yunsick Sung, Ryong Choi
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
3D object classification
deep neural network
Hough space
LiDAR
intelligent vehicle
Online Access:https://www.mdpi.com/2072-4292/14/13/3146

Internet

https://www.mdpi.com/2072-4292/14/13/3146

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