A Study of Implementation of IP-S2 Mobile Mapping Technology for Highway Asset Condition Assessment

2011 ◽  
Author(s):  
J. M. De la Garza ◽  
C. G. Howerton ◽  
D. Sideris
Keyword(s):  
Condition Assessment ◽  
Mobile Mapping ◽  
Mapping Technology

scholarly journals DEVELOPMENT OF VERSATILE MOBILE MAPPING SYSTEM ON A SMALL SCALE

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 271-275
Author(s):  
T. Tachi ◽  
Y. Wang ◽  
R. Abe ◽  
T. Kato ◽  
N. Maebashi ◽  
...  
Keyword(s):  
Small Scale ◽  
Road Maintenance ◽  
Data Utilization ◽  
Mobile Mapping ◽  
The Road ◽  
Map Generation ◽  
Mapping Technology ◽  
Light Vehicle ◽  
The Difference ◽  
Asset Inventory

Abstract. Mobile mapping technology is an effective method to collect geospatial data with high point density and accuracy. It is mainly used for asset inventory and map generation, as well as road maintenance (detecting road cracks and ruts, and measuring flatness). Equipment of former mobile mapping systems (MMS) is large in size and usually installed (hard-mounted) onto dedicated vehicle. Cost-effectiveness and flexibility of MMS have not been regarded as important until Leica Pegasus series, a much smaller system with integrated and configurable components, come out. In this paper, we show you how we realize a versatile MMS with a Pegasus II loaded on a remodelled Japanese light vehicle (small size and less than a cubic capacity of 660 cc). Besides Pegasus II and data-processing PC, we equip this system with a small crane to bring the sensor onto a different platform, an electric cart to survey narrow roads or pedestrian walkway, and a boat attachment so that the sensor can be fixed on a boat. Thus, one Pegasus II can collect data from various platforms. This paper also discusses the precision and accuracy of the Pegasus II working on various platforms. When mounted on a light vehicle, we verified the accuracy of the difference with GCP and evaluated the accuracy of the road maintenance (detecting road cracks and ruts, and measuring flatness). When mounted on an electric cart, we verified the accuracy of the difference with GCP on a pedestrian road and generated road hazard map as a data utilization. When mounted on a boat, we verified the accuracy of the difference with GCP on a dam slope and created slope shading map of landslide area as a data utilization. It turns out that Pegasus II can totally achieve to required surveying-grade.

scholarly journals Three-dimensional mobile mapping system and its use in road engineering

2018 ◽  
Vol 196 ◽  
pp. 04082
Author(s):  
Zuzana Florkova ◽  
Lukas Duris ◽  
Michal Veselovsky ◽  
Stefan Sedivý ◽  
Dasa Kovalova
Keyword(s):  
Data Collection ◽  
Field Data ◽  
Three Dimensional ◽  
Research Paper ◽  
Mobile Mapping ◽  
Road Engineering ◽  
Mapping System ◽  
Field Data Collection ◽  
Mapping Technology ◽  
Mobile Mapping System

The paper focuses on the issue of the use of three-dimensional mobile mapping system and the following processing of obtained data. The first part is devoted to the description of the three-dimensional mobile mapping technology using LiDAR, specifically to the mobile three-dimensional scanner - Lynx SG1 from Teledyne OPTECH. It describes into more details the process of works from the field data collection to their so called "postprocessing" as well as a variety of output options and interpretations of results obtained in the measurements. Advantages of the system together with its limits of use are summarized in the conclusion of the research paper.

scholarly journals INDOOR POSITIONING AND NAVIGATION BASED ON CONTROL SPHERECAL PANORAMIC IMAGES

2016 ◽  
Vol XLI-B6 ◽  
pp. 251-258 ◽  
Author(s):  
Tsung-Che Huang ◽  
Yi-Hsing Tseng
Keyword(s):  
Indoor Positioning ◽  
Image Features ◽  
Bundle Adjustment ◽  
Target Space ◽  
Mobile Mapping ◽  
Technology Roadmap ◽  
Mapping Technology ◽  
Panoramic Images ◽  
Novel Method ◽  
Indoor And Outdoor

Continuous indoor and outdoor positioning and navigation is the goal to achieve in the field of mobile mapping technology. However, accuracy of positioning and navigation will be largely degraded in indoor or occluded areas, due to receiving weak or less GNSS signals. Targeting the need of high accuracy indoor and outdoor positioning and navigation for mobile mapping applications, the objective of this study is to develop a novel method of indoor positioning and navigation with the use of spherical panoramic image (SPI). Two steps are planned in the technology roadmap. First, establishing a control SPI database that contains a good number of well-distributed control SPIs pre-acquired in the target space. A control SPI means an SPI with known exterior orientation parameters, which can be solved with a network bundle adjustment of SPIs. Having a control SPI database, the target space will be ready to provide the service of positioning and navigation. Secondly, the position and orientation of a newly taken SPI can be solved by using overlapped SPIs searched from the control SPI database. The method of matching SPIs and finding conjugate image features will be developed and tested. Two experiments will be planned and conducted in this paper to test the feasibility and validate the test results of the proposed methods. Analysis of appropriate number and distribution of needed control SPIs will also be included in the experiments with respect to different test cases.

A Comparison of Remote Sensing Techniques for Centreline and Weld Mapping in Place of Manual Survey in Hazardous Environments

2020 ◽  
Author(s):  
Joseph Hlady ◽  
Dana Sands ◽  
Lance Fugate
Keyword(s):  
Remote Sensing ◽  
Construction Projects ◽  
Mobile Mapping ◽  
Pipeline Construction ◽  
Survey Techniques ◽  
Hazardous Environments ◽  
Mapping Technology ◽  
Remote Sensing Systems ◽  
Remote Sensing Techniques ◽  
Set Up

Abstract Many places where pipelines are built have soil, basal material and water table conditions which can create suboptimal environments for centerline as-builting and weld mapping. Furthermore, ditches containing multiple pipelines can make as-built and weld mapping particularly complex especially when the pipes are of varying sizes. The complexity of the laying in of multiple pipes may also result in the ditch being exposed longer than desired, enabling further deterioration of ditch conditions and even flooding. At times, circumstances can become so hazardous that manual survey of the pipeline centerline can only be completed while the pipe is outside of the ditch (requiring a transposition) and a variety of survey techniques must be used to capture the centreline locations. Surveying at a distance from the pipes can make verification to weld mapping and field inspection problematic. Recent advancements in remote sensing, particularly mobile LiDAR and imagery collection technology, have lowered collection and processing costs and expanded the applicability of the technology to complex collection environments and harsh conditions on pipeline construction rights-of-way. Additionally, there has been a marked improvement in overall data accuracy and precision from mobile mapping systems. Up until recently, these technologies have only been useful in static construction environments where periods of inactivity during construction afforded the time to set up and collect data in a safe and accurate manner. New remote sensing systems, designed for more rugged, fast-paced, and complex environments are expanding the use of mobile remote sensing to the pipeline construction right of way. These mobile mapping technologies have significant advantages over drone collected data particularly with respect to the logistics of the data collection. Recently, advanced mobile mapping technology was employed on various pipeline construction projects and the accuracy of LiDAR and imagery collection for centerline as-builting and weld mapping was assessed. Some of the project locations were in areas where the traditional manual collection of data could be deemed hazardous or unsafe. This paper evaluates the collection technique against the traditional methods used under hazardous or inaccessible conditions and discusses the benefits of mobile remote sensing for this scenario. The authors also provide an analysis of the remote sensing based as-built and weld mapping data against those acquired through the traditional technique during this trial. Opportunities for adoption of this method as well as improvements to its application are also discussed.

Wind Data Collection and Analysis of Topographical Features along a Highway for Traffic Safety Assessment Based on Mobile Mapping Technology

2018 ◽  
Vol 2672 (42) ◽  
pp. 292-301 ◽  
Author(s):  
Yatian Pu ◽  
Feng Chen ◽  
Peiyan Chen ◽  
Xiaodong Pan
Keyword(s):  
Traffic Safety ◽  
Safety Assessment ◽  
Terrain Analysis ◽  
Mobile Mapping ◽  
Highway Projects ◽  
Data Collection And Analysis ◽  
Elevation Data ◽  
Mapping Technology ◽  
Spatial Domains ◽  
Strong Winds

Strong crosswind is one of the main factors that may cause traffic collisions. Because the wind velocity is influenced by the roadside environment and surrounding terrain, its distribution varies in both the temporal and spatial domains. Therefore, locations with a high probability of strong crosswind should be identified and safety measures should be implemented at these sites. However, geographical data of continuous winds along a highway cannot easily be obtained using existing technology. This prompted the development of a method for geo-location positioning and terrain analysis with elevation data in ArcGIS in combination with mobile mapping technology. The method was applied in a field test conducted on three different highways in China to identify places at which stronger crosswinds occur. The results showed that the proposed method can successfully obtain site-specific wind and crosswind velocity data. It was found that strong winds along the tested highways usually occur at a saddleback or at the border of a riverbank and river, whereas crosswinds are relatively stronger in sections connecting a bridge and tunnel, a bridgehead, or a cross-sea bridge. This information will be useful for future highway projects and traffic safety assessment.

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