Deep intelligent driving application-oriented traffic sign recognition algorithm
A technology of traffic sign recognition and traffic sign, which is applied in the field of traffic sign recognition algorithm, can solve the problems of timeliness, poor stability, low scalability and versatility, and achieve the effect of improving scalability
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[0030] Such as figure 1 As shown, a traffic sign recognition algorithm for deep intelligent driving applications specifically includes the following steps:
[0031] 1) First, perform data enhancement on the multi-source public test data set;
[0032] 2), then alternate iterative training of the detection network and the recognition network;
[0033] 3) Using the detection data sets GTSDB and LISA-TS as the data platform, based on the multi-layer convolution features of the image, the top-down multi-scale convolution feature fusion method is used to construct a set of levels that represent the convolution of the image at different scales Semantic feature map to achieve the extraction of the area of interest of the traffic sign on the multi-scale convolution feature map with more semantic sets for anchor points;
[0034] 4) Design and study the series and parallel collection methods of the network middle layer, and through comparative experiments, excavate and reveal the internal lear...
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