PRECISE EVALUATION OF 3D BUILDING INTERIOR USING SMARTPHONE LIDAR AND TLS

In 2020, Apple launched the smartphone with innovative build-in LiDAR sensors. The smartphone LiDAR is classified as a Mobile Laser Scanner (MLS) since it has the ability to do scanning activities while on the go. Despite the remarkable development made by Apple, there is still no proof that the sma...

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Bibliographic Details
Published in:Alam Cipta
Main Author: Hamid M.A.A.; Saraf N.M.; Razali M.H.; Rasam A.R.A.; Jalil A.H.A.
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215861676&doi=10.47836%2fAC.17.2.PAPER13&partnerID=40&md5=705ed9966b683047af683aad573ab267
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Summary:In 2020, Apple launched the smartphone with innovative build-in LiDAR sensors. The smartphone LiDAR is classified as a Mobile Laser Scanner (MLS) since it has the ability to do scanning activities while on the go. Despite the remarkable development made by Apple, there is still no proof that the smartphone LiDAR can be utilized as a reliable scanner in a land surveying environment. This study is embarked to access the accuracy of the 3D building interior generated from point clouds using two acquisition devices (smartphone LiDAR sensor and TLS). Data acquisition of 3D point cloud datasets only considered the building interior dimension to be measured and processed. The results of 3D building interior model from two acquisition techniques are presented and analysed. Hence, the results of accuracy assessment are compared to investigate the basic technical capabilities of the LiDAR sensors in smartphone. The accuracy of TLS is +0.045m while the accuracy of smartphone LiDAR is +0.136m. The precision of the model is compromised since the point cloud generated by smartphone LiDAR is 5.5mm interval compared to TLS is 1mm interval. Overall, the versatility in handling outweighs the range limitations, making the Apple LiDAR devices cost-effective alternatives to established techniques in survey and mapping application. © (2024), (Universiti Putra Malaysia Press). All rights reserved.
ISSN:18237231
DOI:10.47836/AC.17.2.PAPER13