Perceived Usefulness of Airborne LiDAR Technology in Road Design and Management: A Review

Antah, Fazilah Hatta; Khoiry, Muhamad Azry; Maulud, Khairul Nizam Abdul; Abdullah, Azlina

doi:10.3390/su132111773

Cited by 11 publications

(4 citation statements)

References 116 publications

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“…Light Detection and Ranging (LiDAR) technology is increasingly used for the digitization of the environment in road projects [ 48 ], for the creation of the Digital Surface Model [ 51 ], and for the monitoring of excavations [ 52 ]. This digitization of the environment is being integrated into BIM for better information management [ 53 ].…”

Section: State Of the Artmentioning

confidence: 99%

Proposal for the Integration of the Assessment and Management of Electrical Risk from Overhead Power Lines in BIM for Road Projects

Collado-Mariscal

Pérez

Pérez³

et al. 2022

IJERPH

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Electrical risk has a particular impact within the construction sector. This leads to the development of regulations to mitigate it, but correct application of regulations is impossible with a traditional 2D analysis. The construction sector is using technologies from the industrial sector (Construction 4.0), with BIM as the main enabling technology. Thus, the objective of this article is the evaluation of the risk produced by Overhead Power Lines (OPL) through BIM integration. The OPL, its risk zones, the affected road, and the envelope resulting from the geometry of the necessary machines to build it were digitized, converging in a single model to perform a 4D risk analysis. The risks of the execution of the embankment and road surface of a road section passing through an OPL were analyzed by means of the collision of the envelope with its risk zones, resulting in an integration of their evaluation, to which was added the introduction of preventive measures and their re-evaluation. The parametric 3D modelling allowed a better definition of the risk zones and the BIM management minimized errors, providing traceability of decisions from the design phase, complying with health and safety regulations and applying the principle of Prevention through Design (PtD).

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Section: State Of the Artmentioning

confidence: 99%

Proposal for the Integration of the Assessment and Management of Electrical Risk from Overhead Power Lines in BIM for Road Projects

Collado-Mariscal

Pérez

Pérez³

et al. 2022

IJERPH

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“…Comprehensive survey on different types of Li-DAR [2], [3], [4] have been extensively studied by the researchers. Individual surveys on different applications of Li-DAR in road transportation [5], [6], [7], [8], [9], air transporta-tion [10], [11], [12], [13], railway [14], [15], electrical power transmission [16] and people tracking [17] are present in literature. Several LiDAR databases are also available for post processing applications [33]- [47].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds

et al. 2023

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Monitoring critical infrastructure is of great importance for resilience against current and emerging hazards. In Canada, at the national level, critical infrastructure is strategically classified into the following 10 sectors: energy and utilities, finance, food, transportation, government, information and communication technology, health, water, safety, and manufacturing. Many of these critical infrastructures may be effectively monitored using emerging technologies such as light detection and ranging (LiDAR). LiDAR technology enables active remote sensing from airborne and terrestrial systems. Accordingly, LiDAR can be used in a wide range of applications related to the monitoring of critical infrastructure to promote resilience. This survey provides a comprehensive, and structured literature overview of the LiDAR technology currently available for commercial and research use, and also provides a detailed review of the relevant applications of LiDAR for critical infrastructure monitoring. Several LiDAR-based applications in areas of critical infrastructure such as terrestrial and air transportation, gas, oil, and water pipelines, energy generation and distribution, and security are discussed. A summary of the LiDAR data sets that are currently available for use is also presented.

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“…Land cover classification has made significant contributions to many applications [1][2][3], such as global ecosystem change [4], urban transport design management [5], land planning [6] and smart city building [7]. The Airborne Laser Scanning and Ranging System [8] is capable of acquiring high resolution data sets [9] and 3D topographic data [10], which allows the data to perform well in topographic and land surveys [11,12].…”

Section: Introductionmentioning

confidence: 99%

A Possibility-Based Method for Urban Land Cover Classification Using Airborne Lidar Data

Zhao

Yang

et al. 2022

Remote Sensing

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Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurement tool in forest volume estimation, urban scene reconstruction and land cover classification, where LiDAR data provide crucial and efficient features such as intensity, elevation and coordinates. Due to the complex urban environment, it is difficult to classify land cover accurately and quickly from remotely sensed data. Methods based on the Dempster–Shafer evidence theory (DS theory) offer a possible solution to this problem. However, the inconsistency in the correspondence between classification features and land cover attributes constrains the improvement of classification accuracy. Under the original DS evidence theory classification framework, we propose a novel method for constructing a basic probability assignment (BPA) function based on possibility distributions and apply it to airborne LiDAR land cover classification. The proposed approach begins with a feature classification subset selected by single-feature classification results. Secondly, the possibility distribution of the four features was established, and the uncertainty relationship between feature values and land cover attributes was obtained. Then, we selected suitable interval cut-off points and constructed a BPA function. Finally, DS evidence theory was used for land cover classification. LiDAR and its co-registration data acquired by Toposys Falcon II were used in the performance tests of the proposed method. The experimental results revealed that it can significantly improve the classification accuracy compared to the basic DS method.

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Perceived Usefulness of Airborne LiDAR Technology in Road Design and Management: A Review

Cited by 11 publications

References 116 publications

Proposal for the Integration of the Assessment and Management of Electrical Risk from Overhead Power Lines in BIM for Road Projects

Proposal for the Integration of the Assessment and Management of Electrical Risk from Overhead Power Lines in BIM for Road Projects

Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds

A Possibility-Based Method for Urban Land Cover Classification Using Airborne Lidar Data

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