Traffic Sign Recognition Method Based on Dual-Channel CNN

Aiming at traffic sign problem, the traditional LeNet-5 network structure has low accuracy of traffic sign recognition, slow identification speed and ignores natural factors such as weather. A convolutional network structure model with two-channel and multi-scale based on LeNet-5 improvement is prop...

Celý popis

Podrobná bibliografia

Vydané v:	2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI) s. 364 - 369
Hlavní autori:	Zhao, Zeyi, Zhou, Fuqiang, Wang, Shaohong, Xu, Xiaoli, Chao, Fenjin, Lin, Zhoupeng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.10.2021
Predmet:	convolutional neural network Convolutional neural networks Feature extraction Instruments LeNet-5 network structure Neural networks Robustness Stochastic processes traffic sign recognition Training
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!