Cargando…
Improvement of Tiny Object Segmentation Accuracy in Aerial Images for Asphalt Pavement Pothole Detection
In this study, we propose an algorithm to improve the accuracy of tiny object segmentation for precise pothole detection on asphalt pavements. The approach comprises a three-step process: MOED, VAPOR, and Exception Processing, designed to extract pothole edges, validate the results, and manage detec...
Autores principales: | Kim, Sujong, Seo, Dongmahn, Jeon, Soobin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346315/ https://www.ncbi.nlm.nih.gov/pubmed/37447701 http://dx.doi.org/10.3390/s23135851 |
Ejemplares similares
-
An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images
por: Silva, Luís Augusto, et al.
Publicado: (2020) -
Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing
por: Li, Zhongbo, et al.
Publicado: (2023) -
Laboratory Performance of Hot Mix Asphalt with High Reclaimed Asphalt Pavement (RAP) and Fine Reclaimed Asphalt Pavement (FRAP) Content
por: Han, Sen, et al.
Publicado: (2019) -
Contribution of Asphalt Rubber Mixtures to Sustainable Pavements by Reducing Pavement Thickness
por: Thives, Liseane Padilha, et al.
Publicado: (2022) -
Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement
por: Wang, Changbai, et al.
Publicado: (2021)