Name
Title | ||
|---|---|---|
An Effective Method for Automated Railcar Number Detection and Recognition Based on Deep Learning |
Abstract | ||
|---|---|---|
Railway transportation is of great value to the economy. Railcars usually travel at fast speeds in complex environments. Accurately detecting and recognizing the railcar numbers contributes significantly to logistic management. Therefore, this paper presents a deep-learning-based method for automated railcar number detection and recognition. It consists of two steps, i.e., railcar number detection... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CCECE53047.2021.9569135 | 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) |
Keywords | DocType | ISSN |
Deep learning,Text recognition,Conferences,Biological system modeling,Transportation,Rail transportation,Noise measurement | Conference | 0840-7789 |
ISBN | Citations | PageRank |
978-1-6654-4864-2 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ran Zhang | 1 | 33 | 13.46 |
| Zhila Bahrami | 2 | 0 | 0.34 |
| Zheng Liu | 3 | 339 | 39.14 |