Cahalane, Conor and Lewis, Paul and McElhinney, Conor P. and McNerney, Eimear and McCarthy, Tim
(2016)
Improving MMS Performance during Infrastructure
Surveys through Geometry Aided Design.
Infrastructures, 1 (5).
ISSN 2412-3811
Abstract
A Mobile Mapping System (MMS) equipped with laser scanners can collect large volumes of
LiDAR data in a short time frame and generate complex 3D models of infrastructure. The performance
of the automated algorithms that are developed to extract the infrastructure elements from the
point clouds and create these models are largely dependent on the number of pulses striking
infrastructure in these clouds. Mobile Mapping Systems have evolved accordingly, adding more and
higher specification scanners to achieve the required high point density, however an unanswered
question is whether optimising system configuration can achieve similar improvements at no
extra cost. This paper presents an approach for improving MMS performance for infrastructure
surveys through consideration of scanner orientation, scanner position and scanner operating
parameters in a methodology referred to as Geometry Aided Design. A series of tests were designed
to measure point cloud characteristics such as point density, point spacing and profile spacing.
Three hypothetical MMSs were benchmarked to demonstrate the benefit of Geometry Aided Design
for infrastructure surveys. These tests demonstrate that, with the recommended scanner configuration,
a MMS, operating one high specification scanner and one low specification scanner, is capable of
comparable performance with two high-end systems when benchmarked against a selection of planar,
multi-faced and cylindrical targets, resulting in point density improvements in some cases of up
to 400%.
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