Vehicle position prediction method based on deep learning
A technology of deep learning and prediction methods, applied in the field of intelligent transportation systems, can solve problems such as lack of semantic information, difficult to solve cold start problems, difficult to obtain vehicle trajectories, etc., and achieve the effect of improving accuracy
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[0063] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific examples described here are only used to explain the present invention, not to limit the present invention.
[0064] like figure 1 Shown is an overview of the process of the present invention, mainly comprising the following four steps:
[0065] S1, data acquisition: obtain the vehicle license plate recognition (VLPR for short) data set, divide the period to clean and denoise the VLPR data set, extract the key field information in the vehicle trajectory, and update the VLPR data set;
[0066] S2, data processing: from the VLPR data set, extract the passing records of the same vehicle, generate the vehicle trajectory according to the time sequence, filter out the trajectory that meets the requirements from the...
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