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A method and device for virtual collection of big data for automatic driving training

A technology of automatic driving and collection methods, applied in special data processing applications, genetic rules, geometric CAD, etc., can solve problems such as inability to obtain, achieve simple and convenient collection, reduce collection costs, and increase operability

Active Publication Date: 2021-11-16
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The data of these accidents cannot be obtained in the data collection of the actual environment

Method used

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  • A method and device for virtual collection of big data for automatic driving training
  • A method and device for virtual collection of big data for automatic driving training
  • A method and device for virtual collection of big data for automatic driving training

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Experimental program
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Embodiment 1

[0031] figure 1 It is a flow chart of the method for virtual collection of large data for automatic driving training in Embodiment 1 of the present invention. This embodiment is applicable to the situation of virtual collection of large data for automatic driving training. device, the method may specifically include:

[0032] Step 110, determining the genetic codes of each candidate driving environment target for automatic virtual driving.

[0033] In this embodiment, a highly simulated virtual engine, such as Unreal, can be used to simulate the driving environment of autonomous driving. Unreal is the abbreviation of Unreal Engine (Unreal Engine). It is a kind of game engine. It adopts technologies such as real-time ray tracing, high dynamic range lighting technology and virtual displacement, and can calculate 200 million polygons in real time per second. The degree of environment simulation is very high. Other virtual simulation platforms with a high degree of simulation c...

Embodiment 2

[0058] Image 6 It is a flow chart of the virtual collection method for automatic driving training big data in the second embodiment of the present invention. On the basis of the foregoing embodiments, this embodiment further optimizes the method for virtual collection of the above-mentioned automatic driving training big data. Correspondingly, the method in this embodiment may specifically include:

[0059] Step 210 , for each candidate driving environment target, determine the gene expression of each environmental target factor contained in the candidate driving environment target.

[0060] Specifically, several candidate driving environment targets can be randomly selected, and for each candidate driving environment target, the gene expression of each environmental target factor contained in the candidate driving environment target is determined. The specific gene codes are shown in Table 1 and figure 2 shown. For example, the candidate driving environment target may se...

Embodiment 3

[0079] Based on the foregoing embodiments, this embodiment provides an example to further illustrate the evolution process of the driving environment in the method for virtual collection of big data for automatic driving training.

[0080] In this embodiment, the idea of ​​evolutionary algorithm can be adopted. The evolutionary algorithm is an algorithm that simulates the biological evolution of nature. The process includes selecting excellent individuals as parents, and generating children from the parents through crossover and mutation methods. Example Specifically, the evolutionary algorithm may include the following steps: 1) Given a set of initial solutions; 2) Evaluating the performance of the current set of solutions; 3) Selecting a certain number of solutions from the current set of solutions as the basis of the iterative solution; 4) Operate it again to obtain the iterative solution; 5) Stop if these solutions meet the requirements, otherwise use the solutions obtained...

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Abstract

The embodiment of the invention discloses a method and device for virtual collection of big data of automatic driving training. The method includes: determining the gene codes of each candidate driving environment target for automatic virtual driving; evaluating each candidate driving environment target for automatic driving, and selecting the parent generation driving environment target from each candidate driving environment target according to the evaluation result; Parent driving environment target, carry out genetic crossover operation and / or gene mutation operation on the gene code of this group of parent driving environment target, generate the child driving environment target of this group of parent driving environment target; if the termination condition is not satisfied, the generated Each child driving environment target is used as a new candidate driving environment target, and returns to perform the automatic driving evaluation operation, and selects a new parent driving environment target from the new candidate driving environment targets according to the evaluation result. The embodiments of the present invention can reduce the difficulty of collecting big data for automatic driving, reduce the collection cost and increase the operability.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of automatic driving, and in particular to a method and device for virtual collection of big data for automatic driving training. Background technique [0002] With the development of science and technology and the improvement of people's pursuit of quality of life, people hope to be liberated from tiring driving activities, and autonomous driving technology has emerged as the times require. Autonomous driving, also known as unmanned driving, is a technology that realizes unmanned driving through intelligent systems. In the process of autonomous driving, safe and reliable road driving capabilities are required, and a comprehensive understanding of road environment information is necessary. [0003] The existing autonomous driving technology usually uses multi-sensor technology to obtain environmental information, such as using cameras to collect image information of the road environ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06F30/15G06N3/12
CPCG06N3/126G06F30/15G06F30/20
Inventor 郝祁兰功金马睿
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA