Automatic driving training method and device based on federated learning and medium

A technology of automatic driving and training methods, applied in the field of artificial intelligence, can solve problems such as difficulty in quickly and accurately obtaining effective automatic driving models

Pending Publication Date: 2020-12-08
WEBANK (CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of this application is to provide an automatic driving training method, equipment and medium based on federated learning, aiming to solve the technical problem that it is difficult to quickly and accurately obtain an effective automatic driving model in the prior art

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  • Automatic driving training method and device based on federated learning and medium
  • Automatic driving training method and device based on federated learning and medium
  • Automatic driving training method and device based on federated learning and medium

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Embodiment Construction

[0069] It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0070] The embodiment of the present application provides a federated learning-based automatic driving training method. In the first embodiment of the federated learning-based automatic driving training method of the present application, refer to figure 1 , applied to the cloud server, the automatic driving training method based on federated learning includes:

[0071] Step S10, when a training instruction is detected, obtain a preset model to be trained, and send the preset model to be trained to each target vehicle within a preset driving range;

[0072] Step S20, acquiring the first target model parameters obtained by each target vehicle after training the preset model to be trained based on their respective real-time local data sets;

[0073] Step S30, based on the parameters of the first tar...

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Abstract

The invention discloses an automatic driving training method and device based on federated learning and a medium, and is applied to a cloud server, and the method comprises the steps: obtaining a preset to-be-trained model when a training instruction is detected, and transmitting the preset to-be-trained model to all target vehicles in a preset driving range; obtaining each first target model parameter obtained after the target vehicles train the preset to-be-trained model based on respective real-time local data sets; executing a preset federation process based on each first target model parameter, and performing iterative training on the preset to-be-trained model to obtain a second target model parameter; and sending the second target model parameter to the target vehicles, so that thetarget vehicles obtain respective target models based on the second target model parameter to realize respective automatic driving functions. The technical problem that an effective automatic drivingmodel is difficult to obtain quickly and accurately in the prior art is solved.

Description

technical field [0001] This application relates to the field of artificial intelligence technology of Internet technology, and in particular to a federated learning-based automatic driving training method, equipment and medium. Background technique [0002] With the continuous development of financial technology, especially Internet technology, more and more technologies (such as distributed, blockchain, artificial intelligence, etc.) High requirements, such as the Internet technology field also have higher requirements for autonomous driving training based on federated learning. [0003] Recently, automatic driving technology has developed very rapidly. The application of automatic driving has the advantages of reducing driving workload, alleviating driving fatigue, improving driving safety, and reducing accident rates. Among them, environmental perception is one of the core technologies of automatic driving. The perception results are analyzed and decided as the basis for...

Claims

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Application Information

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IPC IPC(8): G06N20/00
CPCG06N20/00Y02T10/40
Inventor董苗波衣志昊梁新乐范力欣
OwnerWEBANK (CHINA)