| Autor: |
Andrew Kalaani, Qing Yang, Xu Ma, Zhinan Qiao, Mara McGuire, Song Fu, Andrew Sansom |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 International Conference on Connected and Autonomous Driving (MetroCAD). |
| DOI: |
10.1109/metrocad48866.2020.00011 |
| Popis: |
Recently, more and more attention has been paid to the connected object detection for better performance. One of the most interesting fields is learning from multiple resources in a connected fashion. In this paper, we present a connected object detection method using multiple cameras for the smart transportation system. The proposed architecture consists of three parts: an alignment framework, a deep multi-view fusion network and an object detection network. Experiments are conducted to illustrate the performance of our proposed architecture. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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