Laser & Optoelectronics Progress, Volume. 56, Issue 19, 191002(2019)
Traffic Sign Recognition Based on Improved Neural Networks
Fig. 1. Flow chart of YOLOv2 algorithm
Fig. 2. YOLOv2 network structure
Fig. 3. Inception modules. (a) Module A; (b) module B
Fig. 4. NYOLOv2 structural diagram
Fig. 5. Three super classification examples of traffic signs. (a) Mandatory; (b) prohibitory; (c) danger
Fig. 6. Comparison of loss function curves
Fig. 7. Examples of detecting the loss function using YOLOv2
Fig. 8. Examples of detecting the loss function using NYOLOv2
Fig. 9. PR curves of three super categories. (a) Mandatory; (b) prohibitory; (c) danger
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Ying Tong, Huicheng Yang. Traffic Sign Recognition Based on Improved Neural Networks[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191002
Category: Image Processing
Received: Mar. 11, 2019
Accepted: Apr. 12, 2019
Published Online: Oct. 12, 2019
The Author Email: Tong Ying (864844537@qq.com)