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The Combined Use of SLAM Laser Scanning and TLS for the 3D Indoor Mapping

Aino Keitaanniemi, Juho‐Pekka Virtanen, Petri Rönnholm, Antero Kukko, Toni Rantanen, Matti Vaaja

2021Buildings37 citationsDOIOpen Access PDF

Abstract

An efficient 3D survey of a complex indoor environment remains a challenging task, especially if the accuracy requirements for the geometric data are high for instance in building information modeling (BIM) or construction. The registration of non-overlapping terrestrial laser scanning (TLS) point clouds is laborious. We propose a novel indoor mapping strategy that uses a simultaneous localization and mapping (SLAM) laser scanner (LS) to support the building-scale registration of non-overlapping TLS point clouds in order to reconstruct comprehensive building floor/3D maps. This strategy improves efficiency since it allows georeferenced TLS data to only be collected from those parts of the building that require such accuracy. The rest of the building is measured with SLAM LS accuracy. Based on the results of the case study, the introduced method can locate non-overlapping TLS point clouds with an accuracy of 18–51 mm using target sphere comparison.

Topics & Concepts

Point cloudLaser scanningSimultaneous localization and mappingComputer scienceComputer visionGeoreferenceArtificial intelligenceScale (ratio)Point (geometry)Remote sensingLaserGeographyMathematicsCartographyRobotGeometryMobile robotPhysical geographyPhysicsOptics3D Surveying and Cultural HeritageRemote Sensing and LiDAR ApplicationsRobotics and Sensor-Based Localization
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