An Overview of Real-Time Traffic Sign Detection and Classification-Reference-Cited by-同舟云学术

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An Overview of Real-Time Traffic Sign Detection and Classification

Published:2021 Issue: Volume: Page:344-356
ISSN:2367-3370
Container-title:Innovations in Smart Cities Applications Volume 4
language:
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Author:

Taki Youssef,Zemmouri Elmoukhtar^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-66840-2_26

Reference41 articles.

1. Saadna, Y., Behloul, A.: An overview of traffic sign detection and classification methods. Int. J. Multimedia Inform. Retrieval 6, 193–210 (2017)

2. Biswas, R., Khan, A., Alom, M.Z., Khan, M.: Night mode prohibitory traffic signs detection. In: 2013 International Conference on Informatics, Electronics and Vision (ICIEV), pp. 1–5. IEEE (2013)

3. Guo, J., Lu, J., Qu, Y., Li, C.: Traffic-sign spotting in the wild via deep features. In: 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 120–125. IEEE (2018)

4. Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M., Igel, C.: Detection of traffic signs in real-world images: the german traffic sign detection benchmark. In: The 2013 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2013)

5. Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.: Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition. Neural Netw. 32, 323–332 (2012)

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2. Digitizing and inventorying traffic control infrastructures: A review of practices;Transportation Research Interdisciplinary Perspectives;2023-09

3. Robust Perception and Visual Understanding of Traffic Signs in the Wild;IEEE Open Journal of Intelligent Transportation Systems;2023

4. Vehicle Image Classification Method Using Vision Transformer;Artificial Intelligence and Industrial Applications;2023

5. Multimodal Road Sign Interpretation for Autonomous Vehicles;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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