Effective traffic density recognition based on ResNet-SSD with feature fusion and attention mechanism in normal intersection scenes
In normal intersection scenes, there are many tasks that rely on the recognition of traffic density, such as adaptive traffic signal control and driving risk detection. Traditional methods for traffic density recognition are difficult to use, expensive to deploy, and/or may cause damage to the road...
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Main Authors: | Zhang, Qiang, Fu, Yuguang |
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其他作者: | School of Civil and Environmental Engineering |
格式: | Article |
語言: | English |
出版: |
2025
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/182788 |
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機構: | Nanyang Technological University |
語言: | English |
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