Real-Time Traffic Sign Detection Method Based on Improved Convolution Neural Network

Laser & Optoelectronics Progress ◽

10.3788/lop56.071003 ◽

2019 ◽

Vol 56 (7) ◽

pp. 071003

Author(s):

童英 Tong Ying ◽

杨会成 Yang Huicheng

Keyword(s):

Neural Network ◽

Real Time ◽

Detection Method ◽

Convolution Neural Network ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection

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A Framework for Real-time Traffic Sign Detection and Recognition using Grassmann Manifolds

2018 21st International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc.2018.8569556 ◽

2018 ◽

Author(s):

Any Gupta ◽

Ayesha Choudhary

Keyword(s):

Real Time ◽

Grassmann Manifolds ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection ◽

Detection And Recognition

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Real-time traffic sign detection and classification method for intelligent vehicles

2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012) ◽

10.1109/icves.2012.6294316 ◽

2012 ◽

Author(s):

Kemal Kaplan ◽

Caner Kurtul ◽

H. Levent Akin

Keyword(s):

Real Time ◽

Intelligent Vehicles ◽

Classification Method ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection

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Real-Time Traffic Sign Detection Based on Improved YOLO V3

10.1007/978-981-16-6554-7_19 ◽

2021 ◽

pp. 167-172

Author(s):

Haini Zeng

Keyword(s):

Real Time ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection

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A GPU-based real-time traffic sign detection and recognition system

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) ◽

10.1109/civts.2014.7009470 ◽

2014 ◽

Author(s):

Zhilu Chen ◽

Xinming Huang ◽

Zhen Ni ◽

Haibo He

Keyword(s):

Real Time ◽

Recognition System ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection ◽

Detection And Recognition

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Traffic sign detection — A new approach and recognition using convolution neural network

2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) ◽

10.1109/r10-htc.2017.8288988 ◽

2017 ◽

Author(s):

Prashengit Dhar ◽

Md. Zainal Abedin ◽

Tonoy Biswas ◽

Anish Datta

Keyword(s):

Neural Network ◽

Convolution Neural Network ◽

Traffic Sign ◽

New Approach ◽

Sign Detection ◽

Traffic Sign Detection

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Traffic Sign Detection for Panoramic Images Using Convolution Neural Network Technique

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference on - HPCCT 2019 ◽

10.1145/3341069.3341090 ◽

2019 ◽

Author(s):

Sathit Prasomphan ◽

Thanthip Tathong ◽

Primpisa Charoenprateepkit

Keyword(s):

Neural Network ◽

Convolution Neural Network ◽

Traffic Sign ◽

Sign Detection ◽

Panoramic Images ◽

Traffic Sign Detection

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Real-time traffic sign detection and classification towards real traffic scene

Multimedia Tools and Applications ◽

10.1007/s11042-020-08722-y ◽

2020 ◽

Vol 79 (25-26) ◽

pp. 18201-18219 ◽

Author(s):

Yiqiang Wu ◽

Zhiyong Li ◽

Ying Chen ◽

Ke Nai ◽

Jin Yuan

Keyword(s):

Real Time ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection ◽

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DriastSystem: A Computer Vision Based Device for Real Time Traffic Sign Detection and Recognition

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-29347-4_71 ◽

2012 ◽

pp. 608-616 ◽

Author(s):

Marcin Tekieli ◽

Marek Słoński

Keyword(s):

Computer Vision ◽

Real Time ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Traffic Sign Detection ◽

Detection And Recognition

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Real-time traffic sign detection and recognition for in-car driver assistance systems

2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS) ◽

10.1109/mwscas.2012.6292185 ◽

2012 ◽

Author(s):

Erdal Oruklu ◽

Damien Pesty ◽

Joana Neveux ◽

Jean-Emmanuel Guebey

Keyword(s):

Real Time ◽

Driver Assistance ◽

Driver Assistance Systems ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Detection ◽

Assistance Systems ◽

Traffic Sign Detection ◽

Detection And Recognition

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Real-Time Traffic Sign Detection and Classification Using Machine Learning and Optical Character Recognition

2020 IEEE International Conference on Electro Information Technology (EIT) ◽

10.1109/eit48999.2020.9208309 ◽

2020 ◽

Author(s):

Victor Ciuntu ◽

Hasan Ferdowsi

Keyword(s):

Machine Learning ◽

Real Time ◽

Character Recognition ◽

Optical Character Recognition ◽

Traffic Sign ◽

Real Time Traffic ◽

Optical Character ◽

Sign Detection ◽

Traffic Sign Detection

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