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Real-Time Embedded Traffic Sign Recognition Using Efficient Convolutional Neural Network
2019
IEEE Access
Traffic sign recognition(TSR) based on deep learning is rapidly developing. Specifically, TSR contains two technologies, namely, traffic sign classification (TSC) and traffic sign detection (TSD). However, the challenge of TSR is to ensure its efficiency, which means adequate accuracy, generalization, and speed in real-time by a computationally limited platform. In this paper, we will introduce a new efficient TSC network called ENet (efficient network) and a TSD network called EmdNet
doi:10.1109/access.2019.2912311
fatcat:sypsgtvjtvdtfe7uv7vjlqnp5i