In this paper, we regard traffic sign detection as a region classification problem and propose a two-stage CNN-based approach to solve it. At the first stage, we design an efficient network which is ...

As an important part of the unmanned driving system, the detection and ... Adaptive network structure diagram. As shown in Figure 2, the reconstruction of the pooling layer is conducive to the rapid ...

With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles. The Road Sign Recognition project is a real-time detection system ...

The structure diagram of ... method for detecting traffic signs, we conduct experiments on the TT100K dataset. We compare the performance of our method against several state-of-the-art target ...

Deep Learning Traffic Sign Recognition System Based on YOLOv3. Building Electricity, 39, 64-68. (In Chinese) [2] Li, Z., Zhang, H.H. and Deng, J.Y. (2021) Traffic Sign Detection Algorithm Based on ...

Algorithms based on deep learning have achieved remarkable results in traffic sign recognition in recent years. In this paper, we build traffic sign recognition algorithms based on ResNet and CNN ...