Method and device for generating vehicle traffic scene and training method and device

A traffic scene and vehicle technology, applied in the field of computer-readable storage media, computer programs, and computer equipment, to generate vehicle traffic scenes, can solve the problems that cannot meet the large-scale demand for dangerous scenes, limited dangerous scenes, recognition algorithm errors and randomness sexual issues

Active Publication Date: 2022-07-01
HUAWEI TECH CO LTD
View PDF9 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventors found that the dangerous scenes that actually occur in reality are limited, which cannot meet the large-scale demand for dangerous scenes
And the recognition algorithm for typical dangerous scenarios (such as high-risk car-following scenarios, high-risk lane-changing scenarios) also has certain errors and randomness

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for generating vehicle traffic scene and training method and device
  • Method and device for generating vehicle traffic scene and training method and device
  • Method and device for generating vehicle traffic scene and training method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The words "first, second, third, etc." in the description and claims, or similar terms such as module A, module B, module C, etc., are only used to distinguish similar objects, and do not represent a specific ordering of objects, which can be understood Indeed, where permitted, the specific order or sequence may be interchanged to enable the embodiments of the application described herein to be practiced in sequences other than those illustrated or described herein.

[0078] In the following description, the reference numerals indicating steps, such as S110, S120, etc., do not necessarily mean that this step will be performed, and the sequence of the preceding and following steps may be interchanged or performed simultaneously if permitted.

[0079] The term "comprising" used in the description and claims should not be construed as being limited to what is listed thereafter; it does not exclude other elements or steps. Accordingly, it should be interpreted as specifying...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the field of artificial intelligence, in particular to the field of vehicle intelligent driving, and provides a method and device for generating a vehicle traffic scene and a training method and device. Noise data are input into a first generator and a second generator which are obtained through generative adversarial network training to generate time sequence feature data and attribute feature data, and the time sequence feature data are reflected as vehicle states at all moments within a preset duration; the attribute characteristic data is reflected as the change of the state of the vehicle within a preset duration; synthesizing initial scene data of the vehicle traffic scene by using the time sequence feature data and the attribute feature data; and correcting the initial scene data based on constraint conditions to obtain final scene data of the vehicle traffic scene, so that the generated final scene data of the vehicle traffic scene is more reliable.

Description

technical field [0001] The present application relates to the field of vehicle intelligent driving, and more particularly, to a method and apparatus for generating a vehicle traffic scene, a training method and apparatus, as well as computer equipment, computer-readable storage medium and computer program. Background technique [0002] Intelligent driving technology has played a huge role in improving traffic safety and preventing traffic congestion. Therefore, smart cars with smart driving technology have broad market prospects. Because smart cars will encounter various complex traffic scenarios when driving on real roads, they need to undergo rigorous testing to ensure safe operation before they are put into production and put on the road. [0003] There are usually two types of testing for smart cars: testing by driving the vehicle to various road sections and virtual testing through a simulation platform. Virtual testing on a simulation platform can ensure the safety o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G09B9/04G09B9/052G09B19/16G06N3/04G06N3/08
CPCG09B9/04G09B9/052G09B19/167G06N3/08G06N3/045G06N3/04G09B19/16
Inventor 姜艺姜广吉杨林孙剑张一豪张赫
Owner HUAWEI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products