Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks

Gharineiat, Zahra; Tarsha Kurdi, Fayez; Henny, Krish; Gray, Hamish; Jamieson, Aaron; Reeves, Nicholas

doi:10.3390/rs16173256

Open AccessArticle

Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks

by

Zahra Gharineiat

^*

,

Fayez Tarsha Kurdi

,

Krish Henny

,

Hamish Gray

,

Aaron Jamieson

and

Nicholas Reeves

School of Surveying and Built Environment, University of Southern Queensland, Springfield Campus, Springfield, QLD 4300, Australia

^*

Author to whom correspondence should be addressed.

Remote Sens. 2024, 16(17), 3256; https://doi.org/10.3390/rs16173256

Submission received: 28 July 2024 / Revised: 27 August 2024 / Accepted: 28 August 2024 / Published: 2 September 2024

(This article belongs to the Special Issue New Tools or Trends for Large-Scale Mapping and 3D Modelling (Second Edition))

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Abstract

The Simultaneous Localization and Mapping (SLAM) scanner is an easy and portable Light Detection and Ranging (LiDAR) data acquisition device. Its main output is a 3D point cloud covering the scanned scene. Regarding the importance of accuracy in the survey domain, this paper aims to assess the accuracy of two SLAM scanners: the NavVis VLX and the BLK2GO scanner. This assessment is conducted for both outdoor and indoor environments. In this context, two types of reference data were used: the total station (TS) and the static scanner Z+F Imager 5016. To carry out the assessment, four comparisons were tested: cloud-to-cloud, cloud-to-mesh, mesh-to-mesh, and edge detection board assessment. However, the results of the assessments confirmed that the accuracy of indoor SLAM scanner measurements (5 mm) was greater than that of outdoor ones (between 10 mm and 60 mm). Moreover, the comparison of cloud-to-cloud provided the best accuracy regarding direct accuracy measurement without manipulations. Finally, based on the high accuracy, scanning speed, flexibility, and the accuracy differences between tested cases, it was confirmed that SLAM scanners are effective tools for data acquisition.

Keywords: SLAM; LiDAR; accuracy assessment; indoor and outdoor; data acquisition

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MDPI and ACS Style

Gharineiat, Z.; Tarsha Kurdi, F.; Henny, K.; Gray, H.; Jamieson, A.; Reeves, N. Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks. Remote Sens. 2024, 16, 3256. https://doi.org/10.3390/rs16173256

AMA Style

Gharineiat Z, Tarsha Kurdi F, Henny K, Gray H, Jamieson A, Reeves N. Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks. Remote Sensing. 2024; 16(17):3256. https://doi.org/10.3390/rs16173256

Chicago/Turabian Style

Gharineiat, Zahra, Fayez Tarsha Kurdi, Krish Henny, Hamish Gray, Aaron Jamieson, and Nicholas Reeves. 2024. "Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks" Remote Sensing 16, no. 17: 3256. https://doi.org/10.3390/rs16173256

APA Style

Gharineiat, Z., Tarsha Kurdi, F., Henny, K., Gray, H., Jamieson, A., & Reeves, N. (2024). Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks. Remote Sensing, 16(17), 3256. https://doi.org/10.3390/rs16173256

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks

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