A LiDAR application for the study of taxiway surface evenness and slope

Barbarella, Maurizio; Blasiis, Maria Rosaria De; Fiani, Margherita; Santoni, Marco

doi:10.5194/isprsannals-ii-5-65-2014

Cited by 11 publications

(10 citation statements)

References 8 publications

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“…The use of 3D laser scanning with high resolution to detect surface deformities of runways is described in [46][47][48][49]. The usability of radar measurements for detecting distortions of the surface, discovering the underground infrastructure, and finding cracks and voids and other anomalies in the lower structure of runways were first studied in [35].…”

Section: Existing Information Models For Monitoring Distortion On Runmentioning

confidence: 99%

Improved Decision-Making Geo-Information System for Continuous Monitoring of Deformations on Airport Infrastructure

Doler

Kovačić

2018

IJGI

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Heavy burdens are placed on runways daily; thus, it is necessary to monitor these surfaces regularly. The appearance of distortions can cause difficulties for aircraft when they land or take off, which occurs mainly for lighter planes. This can be seen in reduced grip, uneven use of tires, problems with measurement systems, and unbalanced drive, which can result in damage to or even destruction of the plane or its parts. For that purpose, the model of continuous monitoring of distortions on and under the surface of the runway was created. This model is based on geodetic and geophysical methods. The method for monitoring distortions was developed into a decision-making model in the shape of a geo-information base. The results provide an image of the state of the runway including damage on and under the surface, which are the most common causes of runway distortions. The data are automatically recorded in the newly established information system, which supports the decision making regarding renovations and runway maintenance. The measurement on the runway takes 30 min, which does not lead to a long closure of the airport and, thus, reduces traffic jams and additional costs.

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Section: Existing Information Models For Monitoring Distortion On Runmentioning

confidence: 99%

Improved Decision-Making Geo-Information System for Continuous Monitoring of Deformations on Airport Infrastructure

Doler

Kovačić

2018

IJGI

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“…Moreover, the TLS can be used to generate a model for the milling quality control and subsequent laying of a new surface layer. There are studies [37][38][39] that dealt with the assessment of road surface inequalities and road shape analysis. The main problem of the surface of roads, including forest roads, is rut development [40].…”

Section: Introductionmentioning

confidence: 99%

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

et al. 2018

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Currently, a large part of forest roads with a bituminous surface course constructed in the Czech Republic in the second half of the last century has been worn out. The aim of the study is to verify the possibility and the accuracy of the road wearing course damage detected by four different remote sensing methods: close range photogrammetry, terrestrial laser scanning, mobile laser scanning and airborne laser scanning. At the beginning of verification, cross sections of the road surface were surveyed geodetically and then compared with the cross sections created in the DTMs which were acquired using the four methods mentioned above. The differences calculated between particular models and geodetic measurements show that close range photogrammetry achieved an RMSE of 0.0110 m and the RMSE of terrestrial laser scanning was 0.0243 m. Based on these results, we can conclude that these two methods are sufficient for the monitoring of the asphalt wearing course of forest roads. These methods allow precise and objective localization, size and quantification of the road damage. By contrast, mobile laser scanning with an RMSE of 0.3167 m does not reach the required precision for the damage detection of forest roads due to the vegetation that affects the precision of the measurements. Similar results are achieved by airborne laser scanning, with an RMSE of 0.1392 m. As regards the time needed, close range photogrammetry appears to be the most appropriate method for damage detection of forest roads.

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“…The authors mainly describe data capture technologies, data processing accuracy, and presentation methods. Data capture methods, as described by the authors, must also be feasible during airport operation [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance

Sever

Doler²,

Kovačić

2021

Applied Sciences

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The elevation of airport runways is specified in the operations manuals and in globally accepted design guidelines. Airport runways are constantly exposed to various physical and weather factors. However, these factors can deteriorate the condition of the runway to the point where it becomes unusable. Monitoring and the continuous inspection of runway evenness is an important element of a sustainable airport maintenance system. An important element of a sustainable airport maintenance system is a runway evenness detection and modelling system. The investigation of the use of various available methods for modelling runway evenness was conducted based on measurements of the actual condition of the existing runway at Edvard Rusjan Airport in Maribor, Slovenia. During the measurements of the runway condition, our own measurement equipment was used, which ensures the geodetic accuracy of the measurements. The novelty of the article is a comparison between five different approaches to modelling runway evenness: approximation with regression plane, inverse distance weighted interpolation (IWD) with a weighting factor of 1, 2, and 10, and interpolation based on a triangulated irregular network (TIN)–linear and cubic. In the methodology section, the advantages and disadvantages of the mentioned methods were described. The selected models were evaluated by required processor time, by the file size resulting from the modelling, and by the values of the descriptive statistics of the model deviation at the average uniform slope. It was found that the modelling method using linear triangular irregular network interpolation provided the most useful results. The results of the conducted analysis can be easily used in any runway management models at airport thet allow for professionally based actions aimed at ensuring the safety and efficiency of runway operations, especially at smaller, regional airports.

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A LiDAR application for the study of taxiway surface evenness and slope

Cited by 11 publications

References 8 publications

Improved Decision-Making Geo-Information System for Continuous Monitoring of Deformations on Airport Infrastructure

Improved Decision-Making Geo-Information System for Continuous Monitoring of Deformations on Airport Infrastructure

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance

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