Automatic driving data labeling method, cloud control platform and storage medium

A self-driving, cloud-controlled technology, applied in the field of data labeling, can solve the problems that are difficult to be used to determine whether the self-driving vehicle is running normally, and it is difficult to be used to test the self-driving vehicle, so as to achieve the effect of improving the value of data

Pending Publication Date: 2020-05-19
BEIJING AUTOMOTIVE IND CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing intelligent network cloud platform will collect a large amount of data such as vehicle status, vehicle location, vehicle driving, driving road conditions, etc. of autonomous vehicles. At present, these data are usually only used for vehicle monitoring and are difficult to be used in the testing of autonomous vehicles. , for example, is difficult to be used to determine whether an autonomous vehicle is driving properly

Method used

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  • Automatic driving data labeling method, cloud control platform and storage medium
  • Automatic driving data labeling method, cloud control platform and storage medium
  • Automatic driving data labeling method, cloud control platform and storage medium

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Experimental program
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Embodiment 2

[0065] see figure 2 , figure 2 It is a schematic flowchart of a method for labeling automatic driving data provided in the embodiment of the present application. Such as figure 2 As shown, the method includes the steps of:

[0066] 201. Divide the autopilot data into at least one data subset and a perception dataset according to the data source of the autopilot data, so as to classify and store the perception dataset and at least one data subset;

[0067] 202. Carry out data labeling on the perception dataset, so as to construct a scene-related perception dataset according to the data labeling result;

[0068] 203. Fuse the perception data set related to the scene with at least one data subset to generate a labeled data set;

[0069] 204. Perform machine learning and training on the labeled data set according to the preset neural network model to generate an automatic driving scene database.

[0070] In the embodiment of the present application, after the labeled data ...

Embodiment 3

[0076] see image 3 , image 3 It is a schematic flowchart of a method for labeling automatic driving data provided in the embodiment of the present application. Such as image 3 As shown, the method includes the steps of:

[0077] 301. Acquire automatic driving data from at least one data source, where the automatic driving data includes at least one of target vehicle body data, target vehicle decision data, target vehicle control data, and target vehicle fault data.

[0078] 302. Divide the autopilot data into at least one data subset and a perception dataset according to the data source of the autopilot data, so as to classify and store the perception dataset and at least one data subset;

[0079] 303. Carry out data labeling on the perception dataset, so as to construct a scene-related perception dataset according to the data labeling result;

[0080] 304. Fuse the perception data set related to the scene with at least one data subset to generate a labeled data set;

...

Embodiment 4

[0084] see Figure 4 , Figure 4 It is a schematic flowchart of a method for labeling automatic driving data provided in the embodiment of the present application. Such as Figure 4 As shown, the method includes the steps of:

[0085] 401. Acquire automatic driving data from at least one data source, where the automatic driving data includes at least one of target vehicle body data, target vehicle decision data, target vehicle control data, and target vehicle fault data.

[0086] 402. Divide the autopilot data into at least one data subset and a perception dataset according to the data source of the autopilot data, so as to classify and store the perception dataset and at least one data subset;

[0087] 403. Verify the sensing data set according to a preset verification rule, so as to generate a verified sensing data set;

[0088] 404. Perform serialization processing on the verified sensing data set according to the preset location serialization rules;

[0089] 405. Perf...

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Abstract

The invention discloses an automatic driving data labeling method, a cloud control platform and a storage medium. The labeling method of the automatic driving data comprises the following steps: dividing the automatic driving data into at least one data subset and a perception data set according to a data source of the automatic driving data so as to store the perception data set and the at leastone data subset in a classified manner; then performing data annotation on the perception data set so as to construct a perception data set related to the scene according to a data annotation result;and fusing the perception data set related to the scene with the at least one data subset and generating an annotation data set. According to the method and the device, automatic labeling of the automatic driving data is realized, a data basis is disclosed for testing of the automatic driving vehicle, and a driving scene is analyzed by utilizing related data, for example, whether the current automatic driving vehicle runs normally or not is judged according to the sensing data.

Description

technical field [0001] The present application relates to the technical field of data labeling, in particular, to a labeling method for automatic driving data, a cloud control platform and a storage medium. Background technique [0002] The existing intelligent network cloud platform will collect a large amount of data such as vehicle status, vehicle location, vehicle driving, driving road conditions, etc. of autonomous vehicles. At present, these data are usually only used for vehicle monitoring and are difficult to be used in the testing of autonomous vehicles. , for example, is difficult to be used to determine whether an autonomous vehicle is driving properly. Contents of the invention [0003] The purpose of the embodiments of the present application is to disclose a method for labeling autonomous driving data, a cloud control platform, and a storage medium for labeling a large amount of collected autonomous driving data, thereby disclosing the technology of the data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00G06Q50/30
CPCG06N20/00G06Q50/30G06F18/251G06F18/241G06F18/214
Inventor 孙学龙陈新郭丽丽肖倩文
Owner BEIJING AUTOMOTIVE IND CORP
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