TY - JOUR
T1 - Use of unmanned aerial vehicles (Uavs) and photogrammetry to obtain the international roughness index (iri) on roads
AU - Prosser-Contreras, Matías
AU - Atencio, Edison
AU - La Rivera, Felipe Muñoz
AU - HERRERA VALENCIA, RODRIGO FERNANDO
N1 - Funding Information:
This research was funded by CONICYT grant number CONICYT-PCHA/International Doctorate/2019-72200306 for funding the graduate research of Mu?oz?La Rivera. The authors wish to thank the TIMS space (Technology, Innovation, Management, and Innovation) of the School of Civil Engineering of the Pontificia Universidad Cat?lica de Valpara?so (Chile), where part of the research was carried out. Furthermore, the authors acknowledge to the Ministry of Public Works from Chile.
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/12/2
Y1 - 2020/12/2
N2 - Road inspection and maintenance require a large amount of data collection, where the main limiting factor is the time required to cover long stretches of road, having a negative impact on the optimization of the work. This article aims to identify modern tools for road maintenance and analysis. To carry out the research, recent methodologies are used to guide the work in different stages to adequately justify the processes involved. Using unmanned aerial vehicles (UAVs), cameras, and GPS, three-dimensional virtual models are reconstructed, which are useful for extracting the necessary information since they allow for accurate replication of the captured. In this way, it is possible to obtain longitudinal profiles associated with the road, and with it, the international roughness index (IRI) is calculated, which gives results within 0.1 (m/km) of the certified official results, which shows its potential use and development.
AB - Road inspection and maintenance require a large amount of data collection, where the main limiting factor is the time required to cover long stretches of road, having a negative impact on the optimization of the work. This article aims to identify modern tools for road maintenance and analysis. To carry out the research, recent methodologies are used to guide the work in different stages to adequately justify the processes involved. Using unmanned aerial vehicles (UAVs), cameras, and GPS, three-dimensional virtual models are reconstructed, which are useful for extracting the necessary information since they allow for accurate replication of the captured. In this way, it is possible to obtain longitudinal profiles associated with the road, and with it, the international roughness index (IRI) is calculated, which gives results within 0.1 (m/km) of the certified official results, which shows its potential use and development.
KW - International roughness index
KW - IRI
KW - Longitudinal profile
KW - Photogrammetry
KW - Road engineering
KW - Unmanned aerial vehicles (UAVs)
UR - http://www.scopus.com/inward/record.url?scp=85106837091&partnerID=8YFLogxK
U2 - 10.3390/app10248788
DO - 10.3390/app10248788
M3 - Article
AN - SCOPUS:85106837091
SN - 2076-3417
VL - 10
SP - 1
EP - 22
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 24
M1 - 8788
ER -