GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data
Mobile laser scanning (MLS) technology directly collects dense 3D coordinate information at expressway and satisfied with the demands of transportation-related road surveying. This paper aims to extract road curbs and road markings from MLS point clouds. The proposed method is based on the following...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-01-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/22797254.2018.1533388 |
| _version_ | 1811232064189497344 |
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| author | Jin Wang Hongrui Zhao Duo Wang Yanyan Chen Zhiqing Zhang Hao Liu |
| author_facet | Jin Wang Hongrui Zhao Duo Wang Yanyan Chen Zhiqing Zhang Hao Liu |
| author_sort | Jin Wang |
| collection | DOAJ |
| description | Mobile laser scanning (MLS) technology directly collects dense 3D coordinate information at expressway and satisfied with the demands of transportation-related road surveying. This paper aims to extract road curbs and road markings from MLS point clouds. The proposed method is based on the following approaches: 1) extracting and segmenting road surfaces and subsidiary facility point clouds from raw point clouds based on the GPS trajectory; 2) dynamically shifting the point clouds from the global coordinate system to block-based local coordinate systems; 3) estimating the curbs and centre points based on the block profiles and re-sampled point clouds; and 4) extracting road markings based on the passthrough-statistical-radius-filter. An application for an expressway and its interchange road is performed to test the proposed method. The mean deviation in the estimated road centres was 5.30 cm, which satisfies the demand for centimetre-scale road precision in expressway applications. The results illustrate that the proposed method is a precise alternative for expressway curb and marking extraction, and can be performed for horizontal analysis and lane navigation in intelligent transportation systems. |
| first_indexed | 2024-04-12T10:57:03Z |
| format | Article |
| id | doaj.art-99b0c2bfcedd4b568fbffdbe388e58ad |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-04-12T10:57:03Z |
| publishDate | 2018-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-99b0c2bfcedd4b568fbffdbe388e58ad2022-12-22T03:36:05ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542018-01-015111022103510.1080/22797254.2018.15333881533388GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning dataJin Wang0Hongrui Zhao1Duo Wang2Yanyan Chen3Zhiqing Zhang4Hao Liu5Beijing University of TechnologyTsinghua UniversityBeijing University of TechnologyBeijing University of TechnologyBeijing University of TechnologyBeijing University of TechnologyMobile laser scanning (MLS) technology directly collects dense 3D coordinate information at expressway and satisfied with the demands of transportation-related road surveying. This paper aims to extract road curbs and road markings from MLS point clouds. The proposed method is based on the following approaches: 1) extracting and segmenting road surfaces and subsidiary facility point clouds from raw point clouds based on the GPS trajectory; 2) dynamically shifting the point clouds from the global coordinate system to block-based local coordinate systems; 3) estimating the curbs and centre points based on the block profiles and re-sampled point clouds; and 4) extracting road markings based on the passthrough-statistical-radius-filter. An application for an expressway and its interchange road is performed to test the proposed method. The mean deviation in the estimated road centres was 5.30 cm, which satisfies the demand for centimetre-scale road precision in expressway applications. The results illustrate that the proposed method is a precise alternative for expressway curb and marking extraction, and can be performed for horizontal analysis and lane navigation in intelligent transportation systems.http://dx.doi.org/10.1080/22797254.2018.1533388Mobile laser scanningexpresswayroad curbroad markingpoint cloudstransportation |
| spellingShingle | Jin Wang Hongrui Zhao Duo Wang Yanyan Chen Zhiqing Zhang Hao Liu GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data European Journal of Remote Sensing Mobile laser scanning expressway road curb road marking point clouds transportation |
| title | GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data |
| title_full | GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data |
| title_fullStr | GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data |
| title_full_unstemmed | GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data |
| title_short | GPS trajectory-based segmentation and multi-filter-based extraction of expressway curbs and markings from mobile laser scanning data |
| title_sort | gps trajectory based segmentation and multi filter based extraction of expressway curbs and markings from mobile laser scanning data |
| topic | Mobile laser scanning expressway road curb road marking point clouds transportation |
| url | http://dx.doi.org/10.1080/22797254.2018.1533388 |
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