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

Article

Gharineiat, Zahra, Tarsha Kurdi, Fayez, Henny, Krish, Gray, Hamish, Jamieson, Aaron and Reeves, Nicholas. 2024. "Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks." Remote Sensing. 16 (17). https://doi.org/10.3390/rs16173256
Article Title

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

ERA Journal ID201448
Article CategoryArticle
AuthorsGharineiat, Zahra, Tarsha Kurdi, Fayez, Henny, Krish, Gray, Hamish, Jamieson, Aaron and Reeves, Nicholas
Journal TitleRemote Sensing
Journal Citation16 (17)
Article Number3256
Number of Pages19
Year2024
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2072-4292
Digital Object Identifier (DOI)https://doi.org/10.3390/rs16173256
Web Address (URL)https://www.mdpi.com/2072-4292/16/17/3256
AbstractThe 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.
KeywordsSLAM; LiDAR; accuracy assessment; indoor and outdoor; data acquisition
Article Publishing Charge (APC) Amount Paid2000
Article Publishing Charge (APC) FundingResearcher
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020401305. Satellite-based positioning
Byline AffiliationsSchool of Surveying and Built Environment
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