Real-time traffic sign recognition based on a general purpose GPU and deep-learning

PLoS ONE ◽

10.1371/journal.pone.0173317 ◽

2017 ◽

Vol 12 (3) ◽

pp. e0173317 ◽

Author(s):

Kwangyong Lim ◽

Yongwon Hong ◽

Yeongwoo Choi ◽

Hyeran Byun

Keyword(s):

Deep Learning ◽

Real Time ◽

General Purpose ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition ◽

General Purpose Gpu

Download Full-text

Real-Time Traffic Sign Recognition and Classification Using Deep Learning

Advances in Intelligent Systems and Computing - Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) ◽

10.1007/978-3-030-73689-7_60 ◽

2021 ◽

pp. 629-636

Author(s):

Ilaiah Kavati ◽

E. Suresh Babu ◽

Ramalingaswamy Cheruku

Keyword(s):

Deep Learning ◽

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

Download Full-text

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

Download Full-text

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 ◽

Author(s):

Jia Li ◽

Zengfu Wang

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition ◽

Download Full-text

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

Download Full-text

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 ◽

Author(s):

N S Artamonov ◽

P Y Yakimov

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition ◽

Download Full-text

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

Download Full-text

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 ◽

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

Download Full-text

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

10.1117/12.810760 ◽

2009 ◽

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

Download Full-text

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 ◽

Author(s):

Andrzej Ruta ◽

Yongmin Li ◽

Xiaohui Liu

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

Download Full-text

Real-time traffic sign recognition using spatially weighted HOG trees

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

10.1109/icar.2011.6088571 ◽

2011 ◽

Author(s):

Fatin Zaklouta ◽

Bogdan Stanciulescu

Keyword(s):

Real Time ◽

Traffic Sign Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

Download Full-text