Name
Title | ||
|---|---|---|
Railway Track Sleeper Detection in Low Altitude UAV Imagery Using Deep Convolutional Neural Network |
Abstract | ||
|---|---|---|
Railway track sleepers are the most critical component that serves as the backbone for other supplementary components. Frequent monitoring of sleepers ensures better railway track health conditions that ensure the safety of goods and passengers. Recently railway explored various monitoring possibilities based on UAV for the robust, cost effective, and efficient inspection of railway track componen... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IGARSS47720.2021.9554542 | 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS |
Keywords | DocType | ISBN |
Deep learning,Computational modeling,Object detection,Detectors,Inspection,Rail transportation,Robustness | Conference | 978-1-6654-0369-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alok Singh | 1 | 201 | 17.15 |
| Arun Kant Dwivedi | 2 | 0 | 0.34 |
| Nimish Nahar | 3 | 0 | 0.34 |
| D. Singh | 4 | 20 | 4.88 |