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About FARSA: Fully Automated Roadway Safety Assessment
This paper proposes FARSA, a deep convolutional neural network that can automatically assess the safety of roads by directly estimating the star rating of street-level panoramas, requiring only milliseconds per image at test time. The network is trained on a large dataset of real-world panoramic images labeled with their safety star rating. Additionally, the network estimates other road attributes like curvature, hazards, and median type through multi-task learning and attention layers. Evaluation on datasets from two US states shows the network can outperform baselines by leveraging additional tasks and semi-supervised training to reduce overfitting.
Detailed Information
Author: | ['Shuaib Ismail'] |
---|---|
Publication Year: | 2020 |
Pages: | 9 |
Language: | English |
Format: | |
Price: | FREE |
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