Hybrid Image Improving and CNN (HIICNN) Stacking Ensemble Method for Traffic Sign Recognition-Reference-Cited by-同舟云学术

Hybrid Image Improving and CNN (HIICNN) Stacking Ensemble Method for Traffic Sign Recognition

Author:

Yildiz Gülcan¹^ORCID,Ulu Ahmet²^ORCID,Dızdaroğlu Bekır²^ORCID,Yildiz Doğan³^ORCID

Affiliation:

1. Department of Computer Engineering, Ondokuz Mayıs University, Samsun, Turkey

2. Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey

3. Department of Electrical–Electronics Engineering, Ondokuz Mayıs University, Samsun, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference33 articles.

5. Evidential deep learning to quantify classification uncertainty;sensoy;Proc Adv Neural Inf Process Syst,2018

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1. A Survey on Traffic Sign Classification using Artificial Intelligence Techniques;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

2. Construction and research of German traffic sign recognition algorithm based on convolutional neural network;2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2023-10-11