An Automatic Traffic Sign Recognition and Classification Model Using Neural Networks
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3932-9_7
Reference46 articles.
1. Li W, Li D, Zeng S (2019) Traffic sign recognition with a small convolutional neural network. IOP Conf Ser Mater Sci Eng 688(4):044034. https://doi.org/10.1088/1757-899X/688/4/044034
2. Zhang J, Xie Z, Sun J, Zou X, Wang J (2020) A cascaded R-CNN with multiscale attention and imbalanced samples for traffic sign detection. IEEE Access 8:29742–29754
3. Wu Y, Liu Y, Li J, Liu H, Hu X (2013). Traffic sign detection based on convolutional neural networks. In: The 2013 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1–7
4. Zhu Y, Zhang C, Zhou D, Wang X, Bai X, Liu W (2016) Traffic sign detection and recognition using fully convolutional network guided proposals. Neurocomputing 214:758–766
5. Lee HS, Kim K (2018) Simultaneous traffic sign detection and boundary estimation using convolutional neural network. IEEE Trans Intell Transp Syst 19(5):1652–1663
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