Vehicle automatic driving system based on embedded and machine learning

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Vehicle automatic driving system based on embedded and machine learning

Fang, Peng / Zecong, Wang / Zhang, Xiangyun

With the rapid development of Chinnes highway transportation industry, the problem of road traffic safety has become increasingly prominent. Highway passenger transport accidents are generally fatal and fatal accidents. Traffic accidents not only cause enormous economic losses to transport enterprises, but also have a very bad social impact on local highway transport management departments, which has even become a new social instability factor. This is mainly because there are many problems in autopilot technology, such as low recognition accuracy, poor real-time performance, weak anti-interference ability and so on. However, embedded technology and machine learning can solve these problems well, so autopilot technology will become the mainstream in the future. Firstly, this paper analyses the importance of autopilot technology. Then this paper analyses the machine learning target recognition, vehicle automatic driving system model and vehicle automatic driving system flow. Finally, this paper designs the function of autopilot system.