Potential and Limitations of Terrestrial Laser Scanning for Discontinuity Roughness Estimation

Bitenc, Maja; Kieffer, Daniel Scott; Khoshelham, Kourosh

doi:10.5194/isprs-archives-xlii-2-w13-935-2019

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…The static laser scanner, called Terrestrial Laser Scanner (TLS), is tailored for engineering and monitoring purposes. Although TLS outperforms other technologies in producing 3D model of an object in its class, the level of accuracy depends on several aspects: coverage angle of scanning, the distance between the instrument and the scanned object, and material type of the object itself [7]- [9]. In its applications, TLS can monitor 3D objects by determining point changes in the structure and deformed shape of the structure [10].…”

Section: Introductionmentioning

confidence: 99%

Registration Strategy of Handheld Scanner (HS) and Terrestrial Laser Scanner Integration for Building Utility Mapping

Widyastuti

Saptari

Rahman

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Currently, the need for a 3D model that represents the existing condition of a building is needed, especially for building management. While performed the 3D mapping of building utilities such as pipelines in buildings, the Terrestrial Laser Scanner (TLS) technology couldn’t cover the object in the ceiling, so Handheld Scanner (HS) was used to complete the scanned objects. The purpose of this article is conducting the process of mapping between HS and TLS for building pipelines. The integration between two different sensor resolutions and sensor scan coverage requires a separate strategy to generate 3D models for pipeline objects in building. The use of specific target and 3D transformation method could do the registration between two set of point clouds which was obtained by two different technologies. The target object, such as spherical object which is usually used as a tie point between scan results in the registration process, cannot be recorded by HS. The specific targets were pasted on the pipelines in order to be captured by the HS. The specific targets become tie point in the registration process. Meanwhile, the registration process using the Iterative Closest Point (ICP) algorithm cannot be carried out because the two scan results do not meet the overlap percentage standard, so that the 3D transformation would be used in registration process. The result is that the registration accuracy is 0.062 m.

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Section: Introductionmentioning

confidence: 99%