PVI-Net: Point–Voxel–Image Fusion for Semantic Segmentation of Point Clouds in Large-Scale Autonomous Driving Scenarios

PVI-Net: Point–Voxel–Image Fusion for Semantic Segmentation of Point Clouds in Large-Scale Autonomous Driving Scenarios

<i>In this study, we introduce a novel framework for the semantic segmentation of point clouds in autonomous driving scenarios, termed PVI-Net.</i> This framework uniquely integrates three different data perspectives—point clouds, voxels, and distance maps—executing feature extraction th...

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Bibliographic Details
Main Authors: Zongshun Wang, Ce Li, Jialin Ma, Zhiqiang Feng, Limei Xiao
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Information
Subjects:
semantic segmentation
multi-perspective
cross-attention
LiDAR point clouds
Online Access:https://www.mdpi.com/2078-2489/15/3/148

Internet

https://www.mdpi.com/2078-2489/15/3/148

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