Academic journal article Theoretical and Empirical Researches in Urban Management

Mobile Laser Scanning to Spatially Update the City Infrastructure Networks

Academic journal article Theoretical and Empirical Researches in Urban Management

Mobile Laser Scanning to Spatially Update the City Infrastructure Networks

Article excerpt


The sustainable urban development is a subject of interest for regional policy makers and it needs appropriate assessment based on futile instruments for research, and for practical reasonsl (planning and decision making). Even if the sustainability's attainment is a research topic field for academia and urban planners and managers and, as well, an ambitious goal for any resource administrator, yet there is no precise way of defining and measuring it. The intelligent spatial update of the city infrastructure network is part of sustainability architecture. Hernandez-Moreno and De Hoyos-Martinez (2010) debates some of initiatives working on indicators and frameworks for sustainable development.

Over the past few years, several research and development authorities across the world have been started the development and support of intelligent city platforms in terms of monitoring and controlling. The city infrastructure network is one of the primary city subsystems, where the intelligence is very efficient and would significantly improve the overall performance. The research discusses the intelligent city infrastructure monitoring platform in the sense of geospatial monitoring. The geospatial monitoring highlights the update of the geographical location (XYZ) represented in 3D surface model of the area of interest. The adopted research methodology for monitoring the city infrastructure networks is mobile laser-based survey equipment.

The research analyzes the collected mobile laser scanning observations, navigational GPS data, system ground speed, GNSS reference station corrections and IMU observations. These field data sets are not directly related to each other. The preliminary analysis showing that the location and time can be used to correlate these data sets, where the analysis will be valuable. The aim of the mobile laser scanning analysis is to identify the best practice methodology of utilizing the new mobile laser scanning technology in the city infrastructure monitoring (not only in the volumetric computations for the excavated surfaces). The research discussed an extraction mathematical model for identifying the best system ground speed to be conducted during the mobile laser scanning missions for any kind of polyethylene pipelines/cables. The research is debating only the polyethylene infrastructure materials due to the conducted detailed analysis for identifying the mobile laser beam intensity constant. Other materials might be subject to other studies where the system ground speed is subject to be changed due to material surface reflectivity factor for the mobile laser scanning pulses.

The detailed analysis of mobile laser scanning pulses behavior with respect to polyethylene city infrastructure networks (cables and pipelines) resulted a new planning of the mobile laser missions. The resulted new planning is forming a more intelligent city infrastructure geospatial monitoring platform. The new intelligent geospatial platform will develop new smart city concept.

There are several technologies, strategies and methodologies that can be utilized for spatial data collection for surveying and mapping production including monitoring the city infrastructure progress. These technologies are including common data collection methodologies using conventional terrestrial surveying techniques, photogrammetry and varies types of remote sensing techniques including laser scanning. The research is discussing a technical comparison between most of available geospatial monitoring. The goal of conducting this comparison is to validate the performance of the mobile laser scanning technology versus the other geospatial technologies.

The laser scanning technology is based on laser scanning of a structured laser line over the surface of an object in order to collect 3-dimensional data. The surface data is captured by a receiver/rangefinder sensor mounted in the laser scanner on top of vehicle which records accurate dense 3D points in space. …

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