RIECNN: real-time image enhanced CNN for traffic sign recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06762-5.pdf
Reference17 articles.
1. Li Y, Ma L, Huang Y, Li J (2018) Segment-based traffic sign detection from mobile laser scanning data. In: Proceedings of the 38th Annual IEEE international geoscience and remote sensing symposium (IGARSS) p 4607–4610
2. Jose A, Thodupunoori H, Nair BB (2018) A novel traffic sign recognition system combining viola-jones framework and deep learning. In: Proceedings of the international conference on soft computing and signal processing (ICSCSP) p 507–517
3. Ciresan D, Meier U, Masci J, Schmidhuber J (2012) Multi-column deep neural network for traffic sign classification. J Neural Netw. https://doi.org/10.1016/j.neunet.2012.02.023
4. García ÁA, Álvarez JA, Soria-Morillo LM (2018) Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods. Neural Netw Off J Int Neural Netw Soc 99:158
5. Jaderberg M, Simonyan K, Zisserman A, Kavukcuoglu K (2015) in NIPS. arXiv:1506.02025
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