Mapping for indoor walking path using mobile laser scanning / Nurfadhilah Ruslan … [et al.]

Ruslan, Nurfadhilah and Rosadlan, Nur Syazwani and Naharudin, Nabilah and Abd Latif, Zulkiflee (2020) Mapping for indoor walking path using mobile laser scanning / Nurfadhilah Ruslan … [et al.]. Built Environment Journal (BEJ), 17 (3). pp. 43-50. ISSN 1675-5022


Walkability is one of the keys in developing a sustainable city. These days, many cities have considered enhancing walkability for pedestrian paths to ensure the seamless walking experience for people to reach their destination. Therefore, it is very important to have a good walking environment so people will find walking pleasant. However, there was a lack of studies attempting to include indoor walking environments in their walkability analysis. Most of them only consider outdoor walking paths. This might be due to the difficulties in modelling the indoor walking environment. With the advance technology of laser scanning, it might be possible to develop an indoor walking path by using point clouds collected for a building. The usage of point clouds could make it easier to segment the building elements and obstacles in an indoor environment. In order to produce an indoor map, it is important to reconstruct the building elements such as wall, ceiling, window and door. Therefore, this paper aims to generate the indoor walking path using laser scanning point clouds showing all the options to the pedestrians.


Item Type: Article
Email / ID Num.
Ruslan, Nurfadhilah
Rosadlan, Nur Syazwani
Naharudin, Nabilah
Abd Latif, Zulkiflee
Subjects: N Fine Arts > NA Architecture > City planning. Regional planning
N Fine Arts > NA Architecture > Pedestrian areas. Sidewalks
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: Built Environment Journal (BEJ)
UiTM Journal Collections: UiTM Journal > Built Environment Journal (BEJ)
ISSN: 1675-5022
Volume: 17
Number: 3
Page Range: pp. 43-50
Keywords: Walkability, Indoor mapping, Point cloud
Date: December 2020
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