DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV

DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV

Semantic segmentation in LiDAR point clouds has become an important research topic for autonomous driving systems. This paper proposes a dynamic graph convolution neural network for LiDAR point cloud semantic segmentation using a polar bird’s-eye view, referred to as DGPolarNet. LiDAR point clouds a...

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Bibliographic Details
Main Authors: Wei Song, Zhen Liu, Ying Guo, Su Sun, Guidong Zu, Maozhen Li
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
semantic segmentation
polar BEV
LiDAR point cloud
dynamic graph convolution network
Online Access:https://www.mdpi.com/2072-4292/14/15/3825

Internet

https://www.mdpi.com/2072-4292/14/15/3825

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