Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Meteorological condition prediction method and device for self-driving vehicle, vehicle and controller

A meteorological condition and automatic driving technology, which is applied in the weather condition prediction of autonomous driving vehicles, automobiles and controllers, can solve the problems of automatic driving safety threats and unrealistic meteorological environment prediction, so as to improve the weather operating conditions and enhance brand competition Power, enhance the effect of brand image

Active Publication Date: 2021-05-28
CHONGQING CHANGAN AUTOMOBILE CO LTD
View PDF20 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a meteorological condition prediction method, device, vehicle and controller for an automatic driving vehicle, so as to solve the problem in the prior art that the real meteorological environment of the vehicle environment cannot be predicted, resulting in safety threats to automatic driving.

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
  • Meteorological condition prediction method and device for self-driving vehicle, vehicle and controller

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described below in conjunction with accompanying drawings, but the present invention is not limited to these embodiments.

[0038] refer to figure 1 , in order to implement the meteorological condition prediction method of the self-driving vehicle in this embodiment, the present embodiment provides a kind of weather condition prediction system, the system includes: a wiper switch 1, a light switch 2, a camera module mounted on the self-driving vehicle 3. Rainfall and sunlight sensing module 4, temperature sensing module 5, high-precision map module 6 and controller, the controller includes: driver operation module 7, sensing perception module 8, map positioning information module 9 and weather environment information Module 10.

[0039] Wherein, the wiper switch 1 is used for outputting on / off information of the wiper function, and the current gear position of the wiper when the wiper function is turned on. The driver operation mo...

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 a meteorological condition prediction method and device for a self-driving vehicle, a vehicle and a controller, and aims to solve the problem that in the prior art, the real meteorological environment of the environment where the vehicle is located cannot be predicted, so that safety threats exist in vehicle driving. The method comprises the steps of determining a third initial rainfall level based on windscreen wiper information, determining a light level based on lamplight information, and determining an illumination level based on visibility information and information of an environment scene where a vehicle is located; determining a final rainfall level based on the first initial rainfall level, the second initial rainfall level and the third initial rainfall level; determining a final illumination level based on the illumination level, the light level, the pollution level information and the weather type information; determining whether the environment temperature exceeds the standard or not based on the environment temperature information; and according to the result, determining whether the meteorological condition of the current environment of the vehicle meets automatic driving or not.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to a weather condition prediction method, device, vehicle and controller for an automatic driving vehicle. Background technique [0002] The monitoring of meteorological conditions is one of the important conditions for the design and operation of automatic driving. The monitoring of meteorological conditions includes dimensions such as visibility, precipitation, high temperature on the road surface, wind force, low temperature freezing, snowfall, sandstorms, and light. The monitoring accuracy of meteorological conditions is to ensure that the automatic driving The prerequisite for driving a vehicle safely is to ensure that the autonomous vehicle operates within a safe range. The monitoring of current meteorological conditions generally uses sensors, such as cameras, rainfall and sunlight sensors, and temperature sensors. However, due to the limitations of sensor functions and perfo...

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 Applications(China)
IPC IPC(8): B60W60/00
CPCB60W60/00182Y02A90/10
Inventor 刘玉清谭秀全梁锋华袁宁
Owner CHONGQING CHANGAN AUTOMOBILE CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products