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Training sample data acquisition method and device and terminal equipment

A technology for training samples and acquisition methods, applied in neural learning methods, biological neural network models, etc., can solve the problem of low driving model training efficiency

Active Publication Date: 2019-04-26
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Embodiments of the present invention provide a method, device, and terminal device for acquiring training sample data to solve the problem of relatively low training efficiency of driving models

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  • Training sample data acquisition method and device and terminal equipment
  • Training sample data acquisition method and device and terminal equipment
  • Training sample data acquisition method and device and terminal equipment

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Embodiment Construction

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0048] The term "comprising" and any variations thereof in the description and claims of this application are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or device comprising a series of steps or units is not necessarily limited to the explicit instead of those steps or elements explicitly listed, other steps or elements not explicitly listed or inherent to the process, method, product or apparatus may b...

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Abstract

The embodiment of the invention provides a training sample data acquisition method and device and terminal equipment, and the method comprises the steps: collecting collected data of a vehicle use scene, the collected data comprising at least one of video data and vehicle state data; Performing data preprocessing on the acquired data to obtain a data file; Adding a task label to the data file; Andtaking the data file added with the task label as training sample data of the driving model. The embodiment of the invention can improve the training efficiency of the driving model.

Description

technical field [0001] The present invention relates to the technical field of intelligent driving, in particular to a method, device and terminal equipment for acquiring training sample data. Background technique [0002] With the rapid development of deep learning technology and the in-depth research of artificial intelligence, the current trend of vehicles is changing from manual driving to automatic driving. Among them, automatic driving through end-to-end deep learning is a major research direction in the field of automatic driving. However, the current end-to-end deep learning process mainly uses the collected raw data to train the driving model, which leads to relatively low training efficiency of the driving model. Contents of the invention [0003] Embodiments of the present invention provide a method, device, and terminal device for acquiring training sample data, so as to solve the problem of relatively low training efficiency of driving models. [0004] An em...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
CPCG06N3/08
Inventor 闫泳杉
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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