Roadside Multiple Objects Extraction from Mobile Laser Scanning Point Cloud Based on DBN

Roadside Multiple Objects Extraction from Mobile Laser Scanning Point Cloud Based on DBN

This paper proposed an novel algorithm for exploring deep belief network (DBN) architectures to extract and recognize roadside facilities (trees,cars and traffic poles) from mobile laser scanning (MLS) point cloud.The proposed methods firstly partitioned the raw MLS point cloud into blocks and then...

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Bibliographic Details
Main Authors: LUO Haifeng, FANG Lina, CHEN Chongcheng, Huang Zhiwen
Format: Article
Language:zho
Published: Surveying and Mapping Press 2018-02-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
MLS point cloud
deep belief network (DBN)
deep learning
point cloud segmentation
road side objects extraction
Online Access:http://html.rhhz.net/CHXB/html/2018-2-234.htm

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http://html.rhhz.net/CHXB/html/2018-2-234.htm

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