Deep learning traffic sign detection, recognition and augmentation-Reference-Cited by-同舟云学术

Deep learning traffic sign detection, recognition and augmentation

Published:2017-04-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Symposium on Applied Computing
language:
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Author:

Abdi Lotfi¹,Meddeb Aref²

Affiliation:

1. University of Tunis El Manar, Tunisia

2. University of Sousse, Tunisia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3019612.3019643

Reference15 articles.

1. Learning Deep Architectures for AI

2. A Method of Traffic Sign Detecting Based on Color Similarity

3. Multi-column deep neural network for traffic sign classification

4. J. Donahue Y. Jia O. Vinyals J. Hoffman N. Zhang E. Tzeng and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. arXiv preprint arXiv:1310.1531 2013. J. Donahue Y. Jia O. Vinyals J. Hoffman N. Zhang E. Tzeng and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. arXiv preprint arXiv:1310.1531 2013.

5. Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade

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