A system and method for automatic driving scene classification and recognition

A scene classification and identification method technology, applied in the field of automatic driving scene classification and identification system, can solve problems such as unfavorable statistical analysis of automatic driving technology optimization, driving scene data difficult to match classification rules, and disordered classification system.

Active Publication Date: 2020-10-27
CHINALIGHT SOLAR +2
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The identification of driving scenes depends on the classification of driving scenes in the early stage. The classification technology of driving scenes in the prior art is mainly based on the classification of numerous driving scene data. The fixed classification rules classify the driving scene data, but due to the complexity of the driving scene and the continuous development and changes of the social environment, it is sometimes difficult for the collected driving scene data to match the fixed classification rules, which leads to a messy classification system Disorder, not conducive to subsequent statistical analysis and optimization of automatic driving technology

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
  • A system and method for automatic driving scene classification and recognition
  • A system and method for automatic driving scene classification and recognition

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0090] In this embodiment, it is set that the segmentable attribute configuration of the dangerous driving scene, the main vehicle lane change scene, the adjacent car cut-in scene, the front car cut-out scene, the parking entry and exit scene under the dynamic main scene is set to "No", followed by The segmentation attribute of the car driving scene and the line patrol driving scene is set to "Yes"; the highway scene, the urban expressway scene, the ordinary urban road scene, the national road scene, the ramp scene, the internal road scene, and the toll station under the main road scene Segmentable attributes of scene, construction area scene, tunnel scene, and overpass scene are set to "Yes", and the slicable attribute of high-speed exit / entrance scene, urban expressway exit / entrance scene, and intersection scene is set to "No"; The splittable attribute of the sunny scene, rainy scene, snowy scene, foggy scene, haze scene, blowing sand scene, and backlight scene in the main sc...

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 discloses a system and method for automatic driving scene classification and recognition. The system is equipped with a scene data acquisition module, a driving scene recognition module, a scene fusion module, and a scene fragment segmentation and storage module; the scene data acquisition module acquires key information of the scene; The scene recognition module performs parallel recognition of various driving scenes according to the key information of the scene; the scene fusion module performs scene fusion on the identified driving scenes. The method includes steps: 1) customizing the main scene and sub-scenes; 2) obtaining key information of the scene; 3) presetting parameter boundaries and extraction standards of each sub-scene, and performing parallel identification of each sub-scene based on the key information of the scene; 4) Based on the set scene fusion conditions and fusion principles, scene fusion is performed on each identified sub-scene to obtain a multi-dimensional driving scene. The invention can realize intelligent classification and identification of driving scenes.

Description

technical field [0001] The present invention relates to the technical field of automatic driving, in particular to a system and method for classifying and identifying automatic driving scenes. Background technique [0002] A self-driving car is an unmanned intelligent car realized by an automatic control system. In recent years, automobile intelligent technology has developed rapidly, assisted driving technology and some automatic driving technologies have entered the stage of industrialization; conditional automatic driving and highly automated driving technologies have entered the stage of testing and verification. Driving scene recognition technology is the key basic technology for intelligent driving assistance systems and unmanned vehicles to perceive the environment. Accurate recognition of driving scenes is conducive to safe and stable driving of self-driving cars. The identification of driving scenes depends on the classification of driving scenes in the early stage...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06K9/62B60W60/00
CPCG08G1/0125G08G1/0133G08G1/0137B60W60/001G06F18/24G06F18/25
Inventor 陈华李楚照熊英志梁黎明夏利红陈龙李鹏辉赵树廉陈涛夏芹
Owner CHINALIGHT SOLAR
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