Flight optimization algorithms for aerial LiDAR capture for urban infrastructure model generation
|Title:||Flight optimization algorithms for aerial LiDAR capture for urban infrastructure model generation||Authors:||Hinks, Tommy
Laefer, Debra F.
|Permanent link:||http://hdl.handle.net/10197/2294||Date:||Nov-2009||Abstract:||Aerial Light Detection and Ranging (LiDAR) offers the potential to auto-generate detailed, three-dimensional (3D) models of the built environment in urban settings. Auto-generation is needed as manual generation is not economically feasible for large areas, and yet such models would offer distinct advantages for a wide range of applications from improved noise and pollution prediction to disaster mitigation modeling. Current technology and the dense geometry of urban environments are two major constraints in LiDAR scanning. This paper outlines the difficulties related to effective vertical surface data capture in an urban environment for the purpose of 3D visualization. Further, the traditional point data captured with LiDAR scans is unsuitable for visualization. Therefore, surface reconstruction algorithms must be applied to the data. These algorithms are largely dependent on the uniformity of the resolution in the point data. Principles for geometric optimization of data capture on vertical surfaces, thereby improving resolution uniformity, are presented.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||American Society of Civil Engineering (ASCE)||Copyright (published version):||2009 ASCE||Keywords:||LiDAR;Visualization;Aerial surveys;Remote sensing;Urban studies;Three-dimensional models;Geographic information systems||Subject LCSH:||Optical radar
Geographic information systems
|DOI:||10.1061/(ASCE)0887-3801(2009)23:6(330)||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Urban Institute Ireland Research Collection|
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection
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