QoE-based customized automatic driving parameter optimal setting method
A technology of automatic driving and driving parameters, which is applied in the direction of registration/indication of vehicle operation, instrumentation, registration/instruction, etc. It can solve the problem that the Internet of Things cannot improve the training and configuration of automatic driving of automobiles, and ignore the individual needs and user experience of users Quality, difficult to guarantee the passenger experience and other issues, to achieve the effect of low cost, short time, and improve driving efficiency
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[0030] The present invention will now be further described with reference to the accompanying drawings. The entire process of the present invention can be referred to as attached Figure 4 , The specific implementation steps are as follows:
[0031] 1) Route segmentation and environmental parameter acquisition
[0032] The slope, camber, wind direction and other information of the distance traveled by the car are different in different road sections. This step divides the driving route into a number of different driving sections according to the slope and curvature of the road between the starting point and the destination set by the driver, and each section of the driving section has approximate slope, curvature and other information, such as figure 2 Shown. By detecting these environmental parameters, the environmental information feature vector of the road section is obtained: F h ={F h1 , F h2 , F h2 ...F hn }, n is the dimension of the vector. This feature vector contains in...
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