Cargando…
Automatic Recognition of Road Damage Based on Lightweight Attentional Convolutional Neural Network
An efficient road damage detection system can reduce the risk of road defects to motorists and road maintenance costs to traffic management authorities, for which a lightweight end-to-end road damage detection network is proposed in this paper, aiming at fast and automatic accurate identification an...
Autores principales: | Liang, Han, Lee, Seong-Cheol, Seo, Suyoung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781160/ https://www.ncbi.nlm.nih.gov/pubmed/36559968 http://dx.doi.org/10.3390/s22249599 |
Ejemplares similares
-
Automatic Concrete Damage Recognition Using Multi-Level Attention Convolutional Neural Network
por: Shin, Hyun Kyu, et al.
Publicado: (2020) -
Improved Lightweight Convolutional Neural Network for Finger Vein Recognition System
por: Hsia, Chih-Hsien, et al.
Publicado: (2023) -
Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
por: Ning, Hongwei, et al.
Publicado: (2023) -
Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks
por: Dai, Min, et al.
Publicado: (2023) -
Recognition of Damaged Arrow-Road Markings by Visible Light Camera Sensor Based on Convolutional Neural Network
por: Vokhidov, Husan, et al.
Publicado: (2016)