Cargando…
Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode
Many accidents happen under shunting mode when the speed of a train is below 45 km/h. In this mode, train attendants observe the railway condition ahead using the traditional manual method and tell the observation results to the driver in order to avoid danger. To address this problem, an automatic...
Autores principales: | Ye, Tao, Wang, Baocheng, Song, Ping, Li, Juan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022122/ https://www.ncbi.nlm.nih.gov/pubmed/29895810 http://dx.doi.org/10.3390/s18061916 |
Ejemplares similares
-
Correction: Ye, T.; et al. Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode. Sensors 2018, 18, 1916
por: Ye, Tao, et al.
Publicado: (2019) -
Small Object Detection in Traffic Scenes Based on Attention Feature Fusion
por: Lian, Jing, et al.
Publicado: (2021) -
Refined Voting and Scene Feature Fusion for 3D Object Detection in Point Clouds
por: Yu, Hang, et al.
Publicado: (2022) -
Feature Refine Network for Salient Object Detection
por: Yang, Jiejun, et al.
Publicado: (2022) -
Noise annoyance through railway traffic - a case study
por: Trombetta Zannin, Paulo Henrique, et al.
Publicado: (2014)