An active vision system for real-time traffic sign recognition

ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493) ◽

10.1109/itsc.2000.881017 ◽

2002 ◽

Cited By ~ 67

Author(s):

J. Miura ◽

T. Kanda ◽

Y. Shirai

Keyword(s):

Real Time ◽

Vision System ◽

Active Vision ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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Implementation of a machine vision system for real-time traffic sign recognition on FPGA

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2013.6699487 ◽

2013 ◽

Cited By ~ 6

Author(s):

Nicolas Aguirre-Dobernack ◽

Hipolito Guzman-Miranda ◽

Miguel A. Aguirre

Keyword(s):

Machine Vision ◽

Real Time ◽

Vision System ◽

Machine Vision System ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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A Lightweight Model For Real-time Traffic Sign Recognition

2020 5th International Conference on Green Technology and Sustainable Development (GTSD) ◽

10.1109/gtsd50082.2020.9303072 ◽

2020 ◽

Author(s):

Trung-Hieu Nguyen ◽

Vu-Hoang Tran ◽

Van-Dung Do ◽

Van-Thuyen Ngo ◽

Thanh-Thanh Ngo-Quang

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2018.2843815 ◽

2019 ◽

Vol 20 (3) ◽

pp. 975-984 ◽

Cited By ~ 24

Author(s):

Jia Li ◽

Zengfu Wang

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition ◽

In The Wild

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Real-Time Traffic Sign Recognition Using Convolutional Neural Networks

Advances in Intelligent Systems and Computing - Emerging Technologies in Data Mining and Information Security ◽

10.1007/978-981-33-4367-2_23 ◽

2021 ◽

pp. 223-234

Author(s):

Aditya Rao ◽

Rahul Motwani ◽

Naveed Sarguroh ◽

Parth Kingrani ◽

Sujata Khandaskar

Keyword(s):

Neural Networks ◽

Real Time ◽

Convolutional Neural Networks ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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Towards Real-Time Traffic Sign Recognition via YOLO on a Mobile GPU

Journal of Physics Conference Series ◽

10.1088/1742-6596/1096/1/012086 ◽

2018 ◽

Vol 1096 ◽

pp. 012086 ◽

Cited By ~ 6

Author(s):

N S Artamonov ◽

P Y Yakimov

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition ◽

Mobile Gpu

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A Study on the Performance Improvement of Real-Time Traffic Sign Recognition using the Bayes Factor Feature Selection

Journal of Institute of Control Robotics and Systems ◽

10.5302/j.icros.2017.17.0017 ◽

2017 ◽

Vol 23 (6) ◽

pp. 432-438

Author(s):

Seok-Cheol Kee

Keyword(s):

Feature Selection ◽

Real Time ◽

Performance Improvement ◽

Bayes Factor ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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Accurate Real-Time Traffic Sign Recognition Based on the Connected Component Labeling and the Color Histogram Algorithms

International Journal of Signal Processing Systems ◽

10.18178/ijsps.4.5.417-421 ◽

2016 ◽

pp. 417-421 ◽

Cited By ~ 5

Author(s):

Yousef-Awwad Daraghmi ◽

◽

Ahmad M. Hasasneh ◽

Keyword(s):

Real Time ◽

Color Histogram ◽

Connected Component ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition ◽

Connected Component Labeling

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Grayscale image segmentation for real-time traffic sign recognition: the hardware point of view

10.1117/12.810760 ◽

2009 ◽

Cited By ~ 1

Author(s):

Tam P. Cao ◽

Guang Deng ◽

Darrell Elton

Keyword(s):

Image Segmentation ◽

Real Time ◽

Point Of View ◽

Grayscale Image ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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Real-time traffic sign recognition from video by class-specific discriminative features

Pattern Recognition ◽

10.1016/j.patcog.2009.05.018 ◽

2010 ◽

Vol 43 (1) ◽

pp. 416-430 ◽

Cited By ~ 161

Author(s):

Andrzej Ruta ◽

Yongmin Li ◽

Xiaohui Liu

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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Real-time traffic sign recognition using spatially weighted HOG trees

2011 15th International Conference on Advanced Robotics (ICAR) ◽

10.1109/icar.2011.6088571 ◽

2011 ◽

Cited By ~ 4

Author(s):

Fatin Zaklouta ◽

Bogdan Stanciulescu

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

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