Kumar, Pankaj and Lewis, Paul and McElhinney, Conor P.
(2015)
Parametric analysis for automated extractions of road edges from mobile laser scanning data.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-2/W.
pp. 215-221.
ISSN 2194-9042
Abstract
The applicability of Mobile Laser Scanning (MLS) systems continue to prove their worth in route corridor mapping due to the rapid,
continuous and cost effective 3D data acquisition capability. LiDAR data provides a number of attributes which can be useful for
extracting various road features. Road edge is a fundamental feature and its accurate knowledge increases the reliability and
precision of extracting other road features. We developed an automated algorithm for extracting left and right edges from MLS data.
The algorithm involved several input parameters which are required to be analysed in order to find their optimal values. In this
paper, we present a detailed analysis of the dimension parameters of input data and raster cell in our algorithm. These parameters
were analysed based on temporal, completeness and accuracy performance of our algorithm for their different sets of values. This
analysis provided the estimation of an optimal values of parameters which were used to automate the process of extracting road
edges from MLS data.
| Item Type: |
Article
|
| Keywords: |
Mobile Laser Scanning; Road Edges; Extraction; Automation; Parameters; |
| Academic Unit: |
Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
| Item ID: |
6944 |
| Identification Number: |
https://doi.org/10.5194/isprsannals-II-2-W2-215-2015 |
| Depositing User: |
Dr. Paul Lewis
|
| Date Deposited: |
02 Feb 2016 14:31 |
| Journal or Publication Title: |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Publisher: |
Copernicus Publications |
| Refereed: |
Yes |
| Funders: |
Irish Research Council (IRC), 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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