Print Email Facebook Twitter Terrestrial LiDAR Capabilities for 3D Data Acquisition (Indoor and Outdoor) in the Context of Cadastral Modelling: A Comparative Analysis for Apartment Units Part of: 4th International FIG 3D Cadastre Workshop· list the conference papers Title Terrestrial LiDAR Capabilities for 3D Data Acquisition (Indoor and Outdoor) in the Context of Cadastral Modelling: A Comparative Analysis for Apartment Units Author Pouliot, Jacynthe Vasseur, Marc Date 2014-11-09 Abstract The paper presents a comparison of terrestrial LiDAR and Distancemeter for surveying 3D spatial data of property units (indoor and outdoor) and producing cadastral representations (2D and 3D). Two study sites representing apartment buildings (co-ownership units) were surveyed with both instruments and six criteria related to data acquisition steps (survey time, number of measures, number of operators) and data modeling steps (preprocessing time, time for modelling the geometry of the objects, completeness) are used to enable the comparison. To produce 2D maps LiDAR technology ended with performance in term of survey and modeling time a little lower compare to Distancemeter. To produce 3D models LiDAR technology shows better results compare to Distancemeter. The number of objects to model and the geometric complexity of these objects are important criteria to take into consideration to determine the advantages of LiDAR technology compared to traditional instruments. For instance, LiDAR point cloud offers the possibility of producing more detailed 3D model (i.e. containing not only cadastral limits). Subject Comparative AnalysisLiDAR (Laser Scanner)Laser Rangefinder3D Cadastre Models3D Data SurveyApartment Units Modeling To reference this document use: http://resolver.tudelft.nl/uuid:95308f18-5dc5-40e5-800e-7fc74e998f73 Part of collection Conference proceedings Document type conference paper Rights (c) the authors Files PDF Workshop2014_07.pdf 352.66 KB Close viewer /islandora/object/uuid:95308f18-5dc5-40e5-800e-7fc74e998f73/datastream/OBJ/view