A neural network model training and universal ground wire detection method
A neural network model and training method technology, applied in the field of general ground wire detection, can solve problems such as difficulty in estimating the speed of the boundary, inability to identify the number of obstacles of the type of obstacles, and the use of unfavorable planning algorithms, so as to improve the training effect. Effect
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[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.
[0029] The present invention obtains a structured representation of the boundary of the drivable area in the current road image by processing the current road image, and the vehicle can plan a driving strategy according to the structured representation during driving.
[0030] figure 1 An example diagram of the boundary structure of the drivable area provided by the embodiment of the present invention is shown, and a general ground line detection result is given in the example diagram. Such as figure 1 As shown, the shaded part is the recognized drivable area, and the other parts are non-driv...
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