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Data processing method and system based on neural network

A neural network and data processing technology, applied in the field of intelligent transportation, can solve problems such as unreasonable weight estimation, and achieve the effect of releasing cache resources and reasonable prioritization

Pending Publication Date: 2022-05-06
云控智行(上海)汽车科技有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing technology does not make full use of valuable information, and the processing method based only on general information may cause unreasonable weight estimation, and the actual required data is sorted later and released

Method used

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  • Data processing method and system based on neural network
  • Data processing method and system based on neural network

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Embodiment Construction

[0020] The following description with reference to the accompanying drawings is provided to facilitate a comprehensive understanding of various embodiments of the present application as defined by the claims and their equivalents. These examples include various specific details to facilitate understanding, but these are to be regarded as exemplary only. Accordingly, those of ordinary skill in the art will understand that various changes and modifications of the various embodiments described herein can be made without departing from the scope and spirit of the application. Also, the present application will omit descriptions of well-known functions and constructions in order to briefly and clearly describe the present application.

[0021] The terms and phrases used in the following description and claims are not limited to the bibliographical meanings, but merely to enable a clear and consistent understanding of the application. Accordingly, it will be understood by those ski...

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Abstract

The invention relates to a data processing method and system based on a neural network, and relates to the field of intelligent transportation. The method comprises the steps that according to map data of a first area, an input feature vector of a neural network is constructed, and the map data comprises roadside information, distance information, road information and receiving information; constructing a training set, a verification set and a test set based on historical data; constructing a shallow neural network model; training, verifying and testing the shallow neural network model to generate a final neural network model; and integrating the neural network model to an automatic driving controller, and determining first information related to the map data. According to the data processing method and system based on the neural network, on the basis of multi-dimensional information such as access time, frequency, road characteristics and RSU distribution characteristics, data processing priority ranking is more reasonable, cache resources are effectively released, and the purpose of storing map data actually needing to be cached is achieved.

Description

technical field [0001] The present application relates to the field of intelligent transportation, in particular to a neural network-based data processing method and system. Background technique [0002] In an automatic driving or vehicle-road coordination system, the automatic driving controller at the vehicle end needs to process high-precision map information. For general vehicle navigation, the high-precision map data volume is huge, and the storage capacity is several orders of magnitude higher. If it is completely dependent on the vehicle automatic driving controller, it is impossible to achieve persistent storage of high-precision map information. [0003] In the vehicle-road coordination system, the roadside unit RSU can broadcast map MAP data to the self-driving vehicle, and the MAP cache is a common method for the self-driving vehicle terminal to solve the problem that the high-precision map data cannot be persisted. In the prior art, all the map information data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06N3/04G06N3/08
CPCG06F16/29G06N3/04G06N3/08
Inventor 宦涣刘娇龙闫学亮蔡慧星
Owner 云控智行(上海)汽车科技有限公司
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