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Open AccessArticle

Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis

1
Beijing Advanced Innovation Center for Imaging Technology, College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
2
Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, 7514 AE Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(6), 1838; https://doi.org/10.3390/s18061838
Received: 27 April 2018 / Revised: 30 May 2018 / Accepted: 1 June 2018 / Published: 5 June 2018
(This article belongs to the Special Issue Indoor LiDAR/Vision Systems)
Indoor space subdivision is an important aspect of scene analysis that provides essential information for many applications, such as indoor navigation and evacuation route planning. Until now, most proposed scene understanding algorithms have been based on whole point clouds, which has led to complicated operations, high computational loads and low processing speed. This paper presents novel methods to efficiently extract the location of openings (e.g., doors and windows) and to subdivide space by analyzing scanlines. An opening detection method is demonstrated that analyses the local geometric regularity in scanlines to refine the extracted opening. Moreover, a space subdivision method based on the extracted openings and the scanning system trajectory is described. Finally, the opening detection and space subdivision results are saved as point cloud labels which will be used for further investigations. The method has been tested on a real dataset collected by ZEB-REVO. The experimental results validate the completeness and correctness of the proposed method for different indoor environment and scanning paths. View Full-Text
Keywords: opening detection; space subdivision; trajectory; indoor point clouds opening detection; space subdivision; trajectory; indoor point clouds
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MDPI and ACS Style

Zheng, Y.; Peter, M.; Zhong, R.; Oude Elberink, S.; Zhou, Q. Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis. Sensors 2018, 18, 1838. https://doi.org/10.3390/s18061838

AMA Style

Zheng Y, Peter M, Zhong R, Oude Elberink S, Zhou Q. Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis. Sensors. 2018; 18(6):1838. https://doi.org/10.3390/s18061838

Chicago/Turabian Style

Zheng, Yi; Peter, Michael; Zhong, Ruofei; Oude Elberink, Sander; Zhou, Quan. 2018. "Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis" Sensors 18, no. 6: 1838. https://doi.org/10.3390/s18061838

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