Employment of RPA (Remotely Piloted Aircraft) in Identifying Imperfections in the Asphalt Pavement of the Transoeste Bus Rapid Transit (BRT) System

Authors

  • Sergio Orlando Antoun Netto State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil Author
  • Joao Victor Da Conceicao Miranda State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil Author
  • Rodolfo Vale Bocafoli Righi State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil Author
  • Leonardo Vieira Barbalho Federal University of Rio de Janeiro, Polytechnic School, Department of Transport Engineering, Rio de Janeiro, Brazil Author
  • Hélio Lopes Guerra Neto Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, USA Author

DOI:

https://doi.org/10.47363/JEAST/2023(5)182

Keywords:

Highways, Photography, Pathologies on the Floor, Asphalt Pavement

Abstract

The Brazilian Road network is constantly used by the population and its maintenance is an essential charge to ensure the performance of the pavement. Therefore, the verification of asphalt conditions is extremely relevant to analyze their structural and functional qualities. It is noteworthy that this verification is usually performed by technicians manually being the results slow and often with impalpable and partial analysis. Given this, we see the need to study the benefits of obtaining this information indirectly without the need for inloco man. In this work we will focus on the use of Remotely Piloted Aircraft System to obtain the images that will enable the analysis of asphalt conditions. The place where the study will take place is the corridor of BRT Transoeste in Rio de Janeiro, which connects the region of Barra da Tijuca to Santa Cruz and Campo Grande, passing through Guaratiba and Recreio dos Bandeirantes. The following procedures will be adopted: Flight Planning with RPAS observing GSD Ground Sample Distance advocated by the scientific literature, field support using GNSS NTRIP technology, processing of images obtained with the use of Agisoft software and generating Orthorectified Orthophoto. Finally, the main objective of the work is to verify the potential of the metric quality of the images from RPAS in identifying damage to the asphalt surface.

Author Biographies

  • Sergio Orlando Antoun Netto, State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil

    Sergio Orlando Antoun Netto, State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil

  • Joao Victor Da Conceicao Miranda, State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil

    Joao Victor Da Conceicao Miranda, State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil 

  • Rodolfo Vale Bocafoli Righi, State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil

    Rodolfo Vale Bocafoli Righi, State University of Rio de Janeiro, Engineering Faculty, Department of Cartography, Rio de Janeiro, Brazil 

  • Leonardo Vieira Barbalho, Federal University of Rio de Janeiro, Polytechnic School, Department of Transport Engineering, Rio de Janeiro, Brazil

    Leonardo Vieira Barbalho, Federal University of Rio de Janeiro, Polytechnic School, Department of Transport Engineering, Rio de Janeiro, Brazil

  • Hélio Lopes Guerra Neto, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, USA

    Hélio Lopes Guerra Neto, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, USA

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Published

2023-11-22

Issue

Vol. 5 No. 6 (2023): Volume 5 Issue 6

Section

Articles