In:
Proceedings of Petersburg Transport University, Petersburg State Transport University, Vol. 2021, No. 2 ( 2021-06), p. 211-221
Kurzfassung:
Objective: To compare the possibilities of using mobile laser scanning (MLS) and aerial photography (AFS) from an unmanned aircraft system (UAS) and to make a survey from an integrated road laboratory when performing diagnostics of highways. Methods: For the analysis, a section of the regional road in the Kursk region was selected, on which the survey was carried out using considered methods. The main characteristics were identified when performing the diagnostics, their values were obtained on the basis of data from the integrated road laboratory, aerial photography with UAS, as well as ILS, and the accuracy of the results obtained, the compliance of the data with the requirements of regulatory documents were assessed. Results: Based on the work performed, the following conclusions were made: the determination of identified diagnostic parameters by the methods of ILS and APS with UAS is correct and aerial photography with UAS at the cost of equipment, the cost of shooting is the most profitable when drawing up topographic road plans. It is noted that in terms of accuracy, the APS method meets the requirements for plans at a scale of 1:500, MLS – 1:1000. Practical importance: Not all indicators required for diagnostics can be obtained with APS with ALS and MLS, since they require specialized equipment and direct interaction with the road surface, however, the range of application of the selected methods can be significantly expanded. Adhesion coefficient is measured using an integrated mobile road laboratory, so it is not advisable to abandon it. It was noted that the equipment of the laboratory, depending on the cost, may be different
Materialart:
Online-Ressource
ISSN:
1815-588X
,
2658-6851
Originaltitel:
Сравнительная оценка мобильного лазерного сканирования, аэрофотосъемки с беспилотной авиационной системы и съемки с комплексной дорожной лаборатории при выполнении диагностики автомобильных дорог
DOI:
10.20295/1815-588X-2021
DOI:
10.20295/1815-588X-2021-2-211-221
Sprache:
Unbekannt
Verlag:
Petersburg State Transport University
Publikationsdatum:
2021
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