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Velocity planning of automatic driving based on fuzzy neural network

Automatic driving is the future development direction of automobile industry, and motion planning is one of the core links of automatic driving. Fuzzy neural network combines the advantages of neural network and fuzzy theory. In order to improve the stability and comfort of automatic driving, this paper proposes a velocity planning method of automatic driving based on fuzzy neural network. The static obstacle and dynamic obstacle scenarios are analyzed respectively in the paper, and the membership function of input and output is established according to fuzzy theory. The fuzzy rule table is summarized based on the experience of manual driving, and the velocity planning model of fuzzy neural network is established by using the self-learning function of neural network.