Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data

In this paper, we present an improved framework for the instance-aware semantic segmentation of road furniture in mobile laser scanning data. In our framework, we first detect road furniture from mobile laser scanning point clouds. Then we decompose the detected pieces of road furniture into poles a...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 23; H. 10; S. 17516 - 17529
Hauptverfasser:	Li, Fashuai, Zhou, Zhize, Xiao, Jianhua, Chen, Ruizhi, Lehtomaki, Matti, Elberink, Sander Oude, Vosselman, George, Hyyppa, Juha, Chen, Yuwei, Kukko, Antero
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classification Classifiers Datasets Densely connected conditional random fields Feature extraction Furniture instance-aware semantic segmentation Laser applications Lasers Machine learning mobile laser scanning point clouds Point cloud compression pole-like road furniture Roads Scanning Semantic segmentation Semantics Shape Three-dimensional displays
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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