Traffic sign detection and recognition using deep learning-based approach with haze removal for autonomous vehicle navigation-Reference-Cited by-同舟云学术

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Traffic sign detection and recognition using deep learning-based approach with haze removal for autonomous vehicle navigation

Published:2024-03 Issue: Volume:7 Page:100442
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Rani A. Radha,Anusha Y.,Cherishama S.K.,Laxmi S. Vijaya

Publisher

Elsevier BV

Reference26 articles.

1. CCTSDB 2021: A more comprehensive traffic sign detection benchmark;Zhang;Hum. Centric Comput. Inf. Sci.,2022

2. Nighttime traffic sign and pedestrian detection using refinedet with time-series information;Yamamoto;IEEJ Trans. Electr. Electron. Eng.,2023

3. Design of improved road sign recognition system based on deep learning;Ding,2023

4. Enhancing the robustness of the convolutional neural networks for traffic sign detection;Khosravian;Proc. Inst. Mech. Eng. D,2022

5. Multiple thresholding and subspace-based approach for detection and recognition of traffic signs;Gudigar;Multimed. Tools Appl.,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unveiling Interpretability: Analyzing Transfer Learning in Deep Learning Models for Traffic Sign Recognition;SN Computer Science;2024-06-28

2. A Review on India Traffic Sign Detection Techniques;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-05-30

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