Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data
Lampposts, traffic lights, traffic signs, utility poles and so forth are important road furniture in urban areas. The fast and accurate localization and extraction of this type of furniture is urgent for the construction and updating of infrastructure databases in cities. This paper proposes a pipel...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/11/4/401 |
| _version_ | 1818907075976101888 |
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| author | You Li Weixi Wang Shengjun Tang Dalin Li Yankun Wang Zhilu Yuan Renzhong Guo Xiaoming Li Wenqun Xiu |
| author_facet | You Li Weixi Wang Shengjun Tang Dalin Li Yankun Wang Zhilu Yuan Renzhong Guo Xiaoming Li Wenqun Xiu |
| author_sort | You Li |
| collection | DOAJ |
| description | Lampposts, traffic lights, traffic signs, utility poles and so forth are important road furniture in urban areas. The fast and accurate localization and extraction of this type of furniture is urgent for the construction and updating of infrastructure databases in cities. This paper proposes a pipeline for mobile laser scanning data processing to locate and extract road poles. The proposed method is based on the vertical continuity with isolation feature of the pole part and the overall roughness feature of the attachment part of road poles. The isolation feature of the pole part is analysed by constructing two concentric cylinders from bottom to top and there should be no or a limited number of, points between these two cylinders. After splitting up the pole part and the attachment part of a road pole, the roughness of the candidate attachment points is computed and the attachment is obtained by performing region growing method based on roughness values. By applying the proposed pipeline to different situations in two datasets, the proposed method proves to be efficient not only in simple scenes but also in cluttered scenes. |
| first_indexed | 2024-12-19T21:49:22Z |
| format | Article |
| id | doaj.art-85bc557e02fe4712a5a94916678d6112 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-19T21:49:22Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-85bc557e02fe4712a5a94916678d61122022-12-21T20:04:27ZengMDPI AGRemote Sensing2072-42922019-02-0111440110.3390/rs11040401rs11040401Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning DataYou Li0Weixi Wang1Shengjun Tang2Dalin Li3Yankun Wang4Zhilu Yuan5Renzhong Guo6Xiaoming Li7Wenqun Xiu8Research Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaResearch Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaResearch Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, ChinaResearch Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaResearch Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaResearch Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaResearch Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, ChinaShenzhen Urban Public Safety and Technology Institute, Shenzhen 518048, ChinaLampposts, traffic lights, traffic signs, utility poles and so forth are important road furniture in urban areas. The fast and accurate localization and extraction of this type of furniture is urgent for the construction and updating of infrastructure databases in cities. This paper proposes a pipeline for mobile laser scanning data processing to locate and extract road poles. The proposed method is based on the vertical continuity with isolation feature of the pole part and the overall roughness feature of the attachment part of road poles. The isolation feature of the pole part is analysed by constructing two concentric cylinders from bottom to top and there should be no or a limited number of, points between these two cylinders. After splitting up the pole part and the attachment part of a road pole, the roughness of the candidate attachment points is computed and the attachment is obtained by performing region growing method based on roughness values. By applying the proposed pipeline to different situations in two datasets, the proposed method proves to be efficient not only in simple scenes but also in cluttered scenes.https://www.mdpi.com/2072-4292/11/4/401point cloudmobile LiDARmobile laser scanningroad polespole-like objectroad furnituresegmentationclusteringobject extraction |
| spellingShingle | You Li Weixi Wang Shengjun Tang Dalin Li Yankun Wang Zhilu Yuan Renzhong Guo Xiaoming Li Wenqun Xiu Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data Remote Sensing point cloud mobile LiDAR mobile laser scanning road poles pole-like object road furniture segmentation clustering object extraction |
| title | Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data |
| title_full | Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data |
| title_fullStr | Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data |
| title_full_unstemmed | Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data |
| title_short | Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data |
| title_sort | localization and extraction of road poles in urban areas from mobile laser scanning data |
| topic | point cloud mobile LiDAR mobile laser scanning road poles pole-like object road furniture segmentation clustering object extraction |
| url | https://www.mdpi.com/2072-4292/11/4/401 |
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