Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models
- Autores
- Huincalef, Rodrigo; Urrutia, Guillermo; Ingravallo, Gabriel; Martínez, Diego C.
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Roads are composed of various sorts of materials and with the constant use they expose different kinds of cracks or potholes. The aim of the current research is to present a novel automated classification method to be applied on these faults, which can be located on rigid pavement type. In order to collect proper representation of faults, a Kinect device was used, leading to three-dimensional point cloud structures. Images descriptors were used in order to establish the type of pothole and to get information regarding fault dimensions.
XVI Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
roads
automated classification method
Kinect device - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/73213
Ver los metadatos del registro completo
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Recognition of Surface Irregularities on Roads: a machine learning approach on 3D modelsHuincalef, RodrigoUrrutia, GuillermoIngravallo, GabrielMartínez, Diego C.Ciencias Informáticasroadsautomated classification methodKinect deviceRoads are composed of various sorts of materials and with the constant use they expose different kinds of cracks or potholes. The aim of the current research is to present a novel automated classification method to be applied on these faults, which can be located on rigid pavement type. In order to collect proper representation of faults, a Kinect device was used, leading to three-dimensional point cloud structures. Images descriptors were used in order to establish the type of pothole and to get information regarding fault dimensions.XVI Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)Red de Universidades con Carreras en Informática (RedUNCI)2018-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf401-411http://sedici.unlp.edu.ar/handle/10915/73213enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:44:24Zoai:sedici.unlp.edu.ar:10915/73213Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:44:24.852SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| title |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| spellingShingle |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models Huincalef, Rodrigo Ciencias Informáticas roads automated classification method Kinect device |
| title_short |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| title_full |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| title_fullStr |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| title_full_unstemmed |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| title_sort |
Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models |
| dc.creator.none.fl_str_mv |
Huincalef, Rodrigo Urrutia, Guillermo Ingravallo, Gabriel Martínez, Diego C. |
| author |
Huincalef, Rodrigo |
| author_facet |
Huincalef, Rodrigo Urrutia, Guillermo Ingravallo, Gabriel Martínez, Diego C. |
| author_role |
author |
| author2 |
Urrutia, Guillermo Ingravallo, Gabriel Martínez, Diego C. |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas roads automated classification method Kinect device |
| topic |
Ciencias Informáticas roads automated classification method Kinect device |
| dc.description.none.fl_txt_mv |
Roads are composed of various sorts of materials and with the constant use they expose different kinds of cracks or potholes. The aim of the current research is to present a novel automated classification method to be applied on these faults, which can be located on rigid pavement type. In order to collect proper representation of faults, a Kinect device was used, leading to three-dimensional point cloud structures. Images descriptors were used in order to establish the type of pothole and to get information regarding fault dimensions. XVI Workshop Computación Gráfica, Imágenes y Visualización (WCGIV) Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
Roads are composed of various sorts of materials and with the constant use they expose different kinds of cracks or potholes. The aim of the current research is to present a novel automated classification method to be applied on these faults, which can be located on rigid pavement type. In order to collect proper representation of faults, a Kinect device was used, leading to three-dimensional point cloud structures. Images descriptors were used in order to establish the type of pothole and to get information regarding fault dimensions. |
| publishDate |
2018 |
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2018-10 |
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eng |
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