Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds

Sharifisoraki, Ziaaddin; Dey, Ankita; Selzler, Roger; Amini, Marzieh; Green, James R.; Rajan, Sreeraman; Kwamena, Felix

doi:10.1109/access.2022.3232338

Cited by 5 publications

(3 citation statements)

References 76 publications

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“…Additionally, quantum radars can bolster security in freight transportation by detecting potential threats or unauthorized access to freight containers or cargo. Finally, quantum radars or LiDARs can be applied for precise vehicle positioning and spacing, ensuring safe and efficient freight vehicle platooning operations, reducing aerodynamic drag, and consequent fuel savings [97].…”

Section: The Potential Of Quantum Sensingmentioning

confidence: 99%

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Kantsepolsky,

Aviv

2024

Smart Cities

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The vital role of civil engineering is to enable the development of modern cities and establish foundations for smart and sustainable urban environments of the future. Advanced sensing technologies are among the instrumental methods used to enhance the performance of civil engineering infrastructures and address the multifaceted challenges of future cities. Through this study, we discussed the shortcomings of traditional sensors in four primary civil engineering domains: construction, energy, water, and transportation. Then, we investigated and summarized the potential of quantum sensors to contribute to and revolutionize the management of civil engineering infrastructures. For the water sector, advancements are expected in monitoring water quality and pressure in water and sewage infrastructures. In the energy sector, quantum sensors may facilitate renewables integration and improve grid stability and buildings’ energy efficiency. The most promising progress in the construction field is the ability to identify subsurface density and underground structures. In transportation, these sensors create many fresh avenues for real-time traffic management and smart mobility solutions. As one of the first-in-the-field studies offering the adoption of quantum sensors across four primary domains of civil engineering, this research establishes the basis for the discourse about the scope and timeline for deploying quantum sensors to real-world applications towards the quantum transformation of civil engineering.

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Section: The Potential Of Quantum Sensingmentioning

confidence: 99%

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Kantsepolsky,

Aviv

2024

Smart Cities

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“…LiDAR (Light Identification and Ranging) technologies, both mobile and stationary, have tremendous promise for damage detection because the scans provide detailed geometric information about the structures being examined (Kaartinen et al, 2022). High-quality terrestrial photographs generated by laser scans provide exact geometry data about a structure, allowing damaged regions to be detected and measured (Sharifisoraki et al, 2023). With safety, efficiency, accessibility, and pragmatism in mind, it is critical to incorporate innovative technologies that require little or no human work on-site (Ashour, 2016;Zucca, 1996).…”

Section: Introductionmentioning

confidence: 99%

Breaking ground in Ghana: LiDAR for site monitoring and its implications on project delivery

Agbelengor,

Ayanore

2024

JGhIE

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Light Detection and Ranging (LiDAR) has in contemporary times become a popular technology in the developed world, being utilized in city planning and infrastructure development. Documentation on the knowledge of its usage in Ghana is scanty. A major challenge that hinders the effective and timely delivery of infrastructural projects in Ghana is the delay in validating certificates for payment as a result of the use of traditional methods of measurement. This paper analysed the use of LiDAR in Aboragyei dumpsite in comparison with the existing traditional method of measurement, which is both time-consuming and prone to measurement inaccuracies. The objective was to evaluate the level of accuracy in measurement between the two methods. This paper used quasi-experimental designs on LiDAR technology to capture 3D models and extract vertical and horizontal measurements from them within a short period. The findings from the comparative assessment indicated that LiDAR technology speeds up infrastructure projects by enhancing not only procedure productivity but also cross-team communication. The cloud point models generated by LiDAR mapping do not deform when confronted with angular or complex geometry, unlike theodolite. This study makes a strong case for the utilization of LiDAR as a method for measuring vertical and horizontal angles by illuminating the target with laser light and measuring each reflection with a sensor. LiDAR system if adapted for site monitoring in Ghana will help avoid distortions in measuring horizontal and vertical angles and save time. However, a major constraint using it in Ghana was the unstable weather patterns.

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“…Surveying and modeling the road surfaces is important to detect road defects and condition (Sharifisoraki et al, 2022). Furthermore, surface models can be used not only for design/rehabilitation but also for vehicle simulations.…”

Section: Introduction Introduction Introduction Introductionmentioning

confidence: 99%

Comparative analysis of Road Scanning Techniques

et al. 2023

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A three-dimensional road point cloud is not only useful for civil engineers (road rehabilitation, road condition assessment) but can also be useful for vehicle engineers (autonomous vehicle driving scenario, vehicle dynamics simulation). Currently, there are several scanning techniques can be used to obtain these point clouds, such as terrestrial laser scanning (TLS), mobile laser scanning (MLS), airborne laser scanning (ALS), unmanned aerial vehicle (UAV) photogrammetry or UAV laser scanning. This paper discusses the investigation of four road surface scanning techniques by comparing their point clouds and the derived products. The comparison was performed for a section of a road with 1136 m length and 4 m width, the TLS survey provided the reference data. Aspects of point cloud evaluation included geometric accuracy, density, and the parameters of plane-fitting. CRG models were created from all studied point clouds to compare the difference between the final products to be used by the automotive industry. The results show that the MLS and the UAV photogrammetry generated the most accurate point cloud, while UAV laser scanning accuracy was the lowest. Similarly, the CRG models comparison showed that there was no significant difference between MLS and TLS models, and the UAV photogrammetry gave a smoother variation relative to the reference surface. Whereas the largest differences were noted for the CRG model derived from the UAV laser scanning models.

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Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds

Cited by 5 publications

References 76 publications

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Breaking ground in Ghana: LiDAR for site monitoring and its implications on project delivery

Comparative analysis of Road Scanning Techniques

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