Print Email Facebook Twitter Towards 10^15-level point clouds management - a nD PointCloud structure Title Towards 10^15-level point clouds management - a nD PointCloud structure Author Liu, H. (TU Delft OLD Department of GIS Technology) van Oosterom, P.J.M. (TU Delft OLD Department of GIS Technology) Meijers, B.M. (TU Delft OLD Department of GIS Technology) Verbree, E. (TU Delft OLD Department of GIS Technology) Contributor Mansourian, A. (editor) Pilesjö, P. (editor) Harrie, L. (editor) van Lammeren, R. (editor) Date 2018 Abstract Drastically increasing production of point clouds as well as modern application fields like robotics and virtual reality raises essential demand for smart and highly efficient data management. Effective tools for the managing and direct use of large point clouds are missing. Current state-of-the-art database management systems (DBMS) present critical problems such as inefficient loading/indexing, lack of support of continuous Level of Detail (cLoD) and limited functionalities. Previous research has suggested and demonstrated the importance of converting property dimensions such as time and classification to organizing dimensions for efficient data management at the storage level. However, a thorough validation and theory are still missing. Besides, how new computational platforms such as the cloud technology may support data management also needs further exploration. These problems motivate the PhD research with the focus on a new data structure (nD PointCloud) which is dedicated for smartly and flexibly organizing information of large point clouds for different use cases. Subject point clouddata managementdata structuredatabasedimension To reference this document use: http://resolver.tudelft.nl/uuid:f0752519-4df4-455a-a9c2-e37ea3249e4e Publisher Association of Geographic Information Laboratories for Europe (AGILE) ISBN 978-3-319-78208-9 Source Proceedings of the 21th AGILE International Conference on Geographic Information Science: Geospatial Technologies for All Event AGILE 2018: 21st AGILE Conference on Geographic Information Science, 2018-06-12 → 2018-06-15, Lund, Sweden Part of collection Institutional Repository Document type conference paper Rights © 2018 H. Liu, P.J.M. van Oosterom, B.M. Meijers, E. Verbree Files PDF 122nDPointCloud_AGILE2018.pdf 629.41 KB Close viewer /islandora/object/uuid:f0752519-4df4-455a-a9c2-e37ea3249e4e/datastream/OBJ/view