Scene classification method and device for automatic driving vehicle road testing

A road test and automatic driving technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem that the test efficiency and evaluation effect need to be improved, the typical scene of the automatic driving road test cannot be selected, and different roads cannot be distinguished Test scene complexity and other issues to achieve the effect of improving test efficiency and evaluation effect

Active Publication Date: 2020-05-19
BEIJING CCID ELECTRONICS SYST EVALUATION LAB
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The disclosure provides a scene classification method and device for road testing of autonomous driving vehicles to solve the complexity of the inability to distinguish different road testing scenarios existing in r

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
  • Scene classification method and device for automatic driving vehicle road testing
  • Scene classification method and device for automatic driving vehicle road testing
  • Scene classification method and device for automatic driving vehicle road testing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0025] With the development of autonomous driving technology and the urgent need for the commercial application of intelligent networked vehicles, the road test of autonomous driving vehicles is extremely important. Through road testing of autonomous driving vehicles, on the one hand, it can realize the test and verification of new technolo...

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 provides a scene classification method and device for automatic driving vehicle road testing. The method comprises the following steps: determining one or more pre-created road scenes and scene composition elements of the road scenes, and dividing the scene composition elements into a first composition element and a second composition element; calculating to obtain a first score according to the information amount contained in the first component element and a preset score corresponding to each scene component element; in a real scene test or a simulated scene test of the vehicle, obtaining test information generated by each scene component element and each scene component element in the second component elements, and inputting the test information into a predetermined modelstructure to obtain a second score; and calculating to obtain a third score according to the first score and the second score so as to realize classification of the road scene based on the third score. According to the invention, the complexity of dividing different types of road scenes is realized, and the test efficiency and the evaluation effect of the automatic driving vehicle are improved.

Description

technical field [0001] The present disclosure relates to the technical field of vehicle testing, and in particular to a scene classification method and device for road testing of autonomous vehicles. Background technique [0002] With the development of society, the means of transportation are gradually developing in the direction of diversification and intelligence. In the process of vehicle design and production, vehicle testing is one of the very important links. Taking self-driving vehicles (such as smart cars, driverless cars, intelligent networked vehicles, etc.) important. Road testing of self-driving vehicles can not only test and verify new technologies, promote the development of technology, but also verify the safety of self-driving vehicles through testing. [0003] The vehicle testing method based on the road scene is the current mainstream vehicle testing method. For example, the pre-crash scenarios of the U.S. Highway Traffic Safety Administration (NHTSA),...

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): G06K9/62
CPCG06F18/24Y02T10/40
Inventor 王荣宋娟薛晓卿朱钧宇刘法旺
Owner BEIJING CCID ELECTRONICS SYST EVALUATION LAB
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap