Advancements in Traffic Sign Detection and Recognition for Adverse Image and Motion Artifacts in Transportation Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-6790-8_14
Reference43 articles.
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3. Bai W, Zhao J, Dai C, Zhang H, Zhao L, Ji Z, Ganchev I (2023) Two novel models for traffic sign detection based on YOLOv5s. Axioms 12(2):160
4. Bangquan X, Xiao Xiong W (2019) Real-time embedded traffic sign recognition using efficient convolutional neural network. IEEE Access 7:53330–53346. https://doi.org/10.1109/ACCESS.2019.2912311
5. Baruah A, Kumar R, Gupta M (2023) Analysis of traffic sign recognition for automated transportation systems using neural networks. In: 2023 IEEE 8th International conference for convergence in technology (I2CT). IEEE
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