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nD-PointCloud

continuous level representation for spatio-temporal phenomena in Open Point Cloud Maps

image credit: Peter van Oosterom

This innovative eScience technology project aims for making point clouds the primary representation of spatio-temporal features, throughout the whole processing chain: data acquisition, storage, analysis, visualization and dissemination. Today point clouds are mainly used in the data acquisition phase; gridded (raster) or object (vector) models are used in the other phases. Handling the extract-transform-load actions becomes an increasing problem in using big data. Based on a novel use of high-resolution nD space filling curves this project will realize deep integration of space, time and scale as basis for data organization, and enable High Performance/Throughput Computing for enormous point clouds. By enabling operations directly on the raw point cloud data, nD-PointCloud realises major advances in domains requiring lossless spatio-temporal data of extremely high accuracy. A distributed Open Point Cloud Map (OPCM) infrastructure will be developed that supports data sharing of big data nD-PointCloud and enables interactive real-time visualization using perspective views without data density shocks, continuous zoom-in/out and progressive data streaming between server and client. Applications from the domain of water management are used as Proof-of-Principle. If successful, nD-PointCloud will become the preferred model enabling progress in (research) fields like cultural heritage, land administration, vegetation monitoring, building modelling,transportation and mobility.

Participating organisations

Delft University of Technology
Deltares
Environment & Sustainability
Environment & Sustainability
Netherlands eScience Center
TU Wien

Impact

Output

Team

PvO
Peter van Oosterom
Lead Applicant
Delft University of Technology
VD
Vitali Diaz
Postdoc
Delft University of Technology
MM
Martijn Meijers
Advisor
Delft University of Technology
EV
Edward Verbree
Advisor
Technische Universiteit Delft
Niels  Drost
Niels Drost
Programme Manager
Netherlands eScience Center
Thijs van Lankveld
Thijs van Lankveld
Lead RSE
Netherlands eScience Center
MS
Markus Schütz
Advisor
TU Wien
HL
Haicheng Liu
PhD student
Delft University of Technology
NA
Nauman Ahmed
Maarten van Meersbergen
Maarten van Meersbergen

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