AVALIAÇÃO DE PROCESSO DE COLETA DE DADOS POR IMAGEM PARA AVALIAÇÃO DE PAVIMENTOS

The evaluation of pavement condition is one of the main stages of a SGP, since it is from the data obtained in it that it will be identified if the pavement was well built, if it meets the design specifications and if it needs maintenance. This information is used by the administrative bodies in order to correctly allocate the available resources. For this reason, there is an incentive to automate these processes in order to make them safer and more efficient. Thus, this research has the general objective of analyzing a data collection process by image to be applied in the evaluation of the condition of pavements. For this, digital images of the pavement were collected and then made available to different groups of evaluators through a form. It was possible to verify the reliability of the evaluations made with the images of the pavements based on the correlation and homogeneity of the answers, considering both the evaluation between the groups and the comparisons between the members. It was concluded that the responses showed consistency in the assigned grades and that the assessments using images had little difference between the groups. Thus, the method used can be considered reliable and promising for the process of automating the collection of information on the condition of the pavement using digital images.

Authors

Institutions

Publication Details

Journal
Colloquium Exactarum
Published
2024-12-18
DOI
https://doi.org/10.5747/ce.2024.v16.e429
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AVALIAÇÃO DE PROCESSO DE COLETA DE DADOS POR IMAGEM PARA AVALIAÇÃO DE PAVIMENTOS

Carlos Alberto Prado da Silva, Heliana Barbosa Fontenele, Juliana Yuri Matsumoto, Gabriel Gonçalvez Sardinha Zulian
Colloquium Exactarum
Infrastructure Maintenance and Monitoring
article

AVALIAÇÃO DE PROCESSO DE COLETA DE DADOS POR IMAGEM PARA AVALIAÇÃO DE PAVIMENTOS

Carlos Alberto Prado da Silva, Heliana Barbosa Fontenele, Juliana Yuri Matsumoto, Gabriel Gonçalvez Sardinha Zulian
article en

Abstract

The evaluation of pavement condition is one of the main stages of a SGP, since it is from the data obtained in it that it will be identified if the pavement was well built, if it meets the design specifications and if it needs maintenance. This information is used by the administrative bodies in order to correctly allocate the available resources. For this reason, there is an incentive to automate these processes in order to make them safer and more efficient. Thus, this research has the general objective of analyzing a data collection process by image to be applied in the evaluation of the condition of pavements. For this, digital images of the pavement were collected and then made available to different groups of evaluators through a form. It was possible to verify the reliability of the evaluations made with the images of the pavements based on the correlation and homogeneity of the answers, considering both the evaluation between the groups and the comparisons between the members. It was concluded that the responses showed consistency in the assigned grades and that the assessments using images had little difference between the groups. Thus, the method used can be considered reliable and promising for the process of automating the collection of information on the condition of the pavement using digital images.

Colloquium ExactarumVol. 16(1)
Universidade Estadual de Londrina (BR)
Sustainable cities and communities
Openalex Percentile: Top 73%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AVALIAÇÃO DE PROCESSO DE COLETA DE DADOS POR IMAGEM PARA AVALIAÇÃO DE PAVIMENTOS — Carlos Alberto Prado da Silva, Heliana Barbosa Fontenele, et al. · Colloquium Exactarum (2024) | TGRS Research Map | TGRS