Multi-Feature 3D Road Point Cloud Semantic Segmentation Method Based on Convolutional Neural Network

Zhang Aiwu; Liu Lulu; Zhang Xizhen

doi:10.3788/CJL202047.0410001

Chinese Journal of Lasers, Volume. 47, Issue 4, 410001(2020)

Multi-Feature 3D Road Point Cloud Semantic Segmentation Method Based on Convolutional Neural Network

Zhang Aiwu^1,2, Liu Lulu^1,2、*, and Zhang Xizhen^1,2

¹Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048 China

²Engineering Research Center of Space Information Technology, Ministry of Education, College of Resource Environment and Tourism, Capital Normal University, Beijing 100048 China

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Zhang Aiwu, Liu Lulu, Zhang Xizhen. Multi-Feature 3D Road Point Cloud Semantic Segmentation Method Based on Convolutional Neural Network[J]. Chinese Journal of Lasers, 2020, 47(4): 410001

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Paper Information

Category: remote sensing and sensor

Received: Sep. 25, 2019

Accepted: --

Published Online: Apr. 9, 2020

The Author Email: Lulu Liu (liululu@cnu.edu.cn)

DOI:10.3788/CJL202047.0410001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology