Automatic driving method and system of deep learning based on traffic element visual enhancement
An autonomous driving and visual enhancement technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as insufficient attention, safety accidents in autonomous vehicles, and inability to achieve autonomous driving capabilities.
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 In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.
 Such as figure 1 As shown, it shows a schematic diagram of the main flow of an embodiment of an automatic driving method based on deep learning of traffic element visual enhancement provided by the present invention, combined with Figure 2 to Figure 3 As shown, in this embodiment, the method includes the following steps:
 Step S10, collect the driving environment data of the current vehicle through the vehicle-mounted camera; in one example, use a camera installed at the front of the vehicle to collect the driving environment data. A collection frequency (such as 30Hz) for collection;
 Step S11, using the sensory neural network to identify traffic elements in the collected driving environment data, and visually enhancing the identified tr...
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