McElhinney, Conor P. and Lewis, Paul and McCarthy, Tim (2011) Mobile terrestrial LiDAR data-sets in a Spatial Database Framework. In: MMT'11, The 7th International Symposium on Mobile Mapping Technology, June 13-16, 2011, Cracow, Poland.

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Abstract

Mobile Mapping Systems (MMS) have become important and regularly used platforms for the collection of physical-environment data in commercial and governmental spheres. For example, a typical MMS may collect location, imagery, video, LiDAR and air quality data from which models of the built-environment can be generated. Numerous approaches to using these data to generate models can be envisaged which can help develop detailed knowledge in the monitoring, maintanence and development of our built-environment. In this context, the efficient storing of this raw spatial data is a significant problem such that bespoke and dynamic access is possible for the generation of modeling requirements. This fundamental requirement of managing these data, where upwards of 40 gigabytes per hour of spatial-information can be collected from an MMS survey, poses significant challanges in data management alone. Existing methodologies mantain bespoke, survey oriented approaches to data management and model generation where the original MMS spatial data is not generally used or available outside these requirements. Thus, there is a need for an MMS data management framework where effective storage and access solutions can hold this information for use and analysis in any modeling context. Towards this end we detail our storage solution and the experiments where the procedures for high volume navigation and LiDAR MMS-data loading are analysed and optimised for minimum upload times and maximum access efficiency. This solution is built upon a PostgreSQL Relational Database Management System (RDBMS) with the PostGIS spatial extension and pg bulkload data loading utility.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Research presented in this paper was funded by the NRA research fellowship programme, ERA-NET SR01 projects and by a Strategic Research Cluster grant (07/SRC/I1168) by Science Foundation Ireland under the National Development Plan. The authors gratefully acknowledge this support.
Keywords:	Mobile terrestrial LiDAR; data-sets; Spatial Database Framework; Mobile Mapping Systems (MMS);
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	9265
Depositing User:	Tim McCarthy
Date Deposited:	20 Feb 2018 14:50
Refereed:	Yes
Funders:	National Roads Authority (NRA), Science Foundation Ireland (SFI)
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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