Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Intelligent car light control method based on cloud computing

A car light control and cloud computing technology, which is applied in the field of vehicle lighting, can solve the problems of intelligent car light control methods such as hysteresis, single illumination mode, and slow operation speed, and achieve good lighting effects, precise control, and enhanced self-adaptability Effect

Inactive Publication Date: 2014-04-02
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF7 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For this reason, the technical problem to be solved by the present invention is that the intelligent vehicle light control method has obvious hysteresis, slow calculation speed, poor timeliness, and single illumination mode, thereby proposing a fast response and high timeliness based on cloud storage and calculation. , all-round, intelligent car light control mode that adapts to various road conditions

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
  • Intelligent car light control method based on cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] This embodiment provides a cloud computing-based smart car light control method, the flow chart of which is as follows figure 1As shown, the specific steps include: firstly, establish the vehicle light control mode, and store the vehicle light control mode in the cloud server; secondly, transmit the vehicle speed and the specific position coordinates of the vehicle detected by the vehicle navigator to the Described cloud server, described cloud server matches according to the position coordinate of automobile and cloud map, determines which section of road the automobile is in, and calculates the road condition information of the next set time period according to the vehicle speed; Finally, described cloud server according to the next setting The road section type and road condition information of a certain period of time determine the vehicle light control mode, and transmit the vehicle light control mode to the intelligent vehicle light control module of the car throug...

Embodiment 2

[0040] On the basis of Embodiment 1, this embodiment provides a specific and detailed implementation of a cloud computing-based intelligent vehicle light control method, the flow chart of which is as follows figure 1 As shown, the specific steps include:

[0041] First, establish a vehicle light control mode, and store the vehicle light control mode in a cloud server. The vehicle light control mode includes highway vehicle light control mode, urban road vehicle light control mode and rural road vehicle light control mode, and is controlled according to the characteristics of three different road types to meet the needs of various road types , so that the adaptability of the lighting of the car lights is stronger and the control is more precise.

[0042] The above-mentioned three vehicle light control modes are further divided into the basic road section light control mode and the special road section light control mode. The special road section lights control mode includes: ...

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 an intelligent car light control method based on cloud computing. The method comprises the steps: establishing car light control modes; transmitting car speed and car concrete position coordinates detected by a vehicle-mounted navigator to a cloud server by virtue of a GPS (global positioning system) in real time; determining which kind of section of a highway where the car is positioned by matching the car position coordinates with a cloud map by the cloud server, and calculating road condition information in next set time period according to the car speed; determining one car light control mode according to the road condition information and the type of the section of the highway in the next set time period, and controlling the lighting direction of a car light in real time. According to the scheme, first of all the comprehensively concrete car light control modes are established, the types of the section of the highway where the car is positioned is determined by matching the car coordinates and the cloud map by the cloud server, and the road condition information of the next section of the high way is calculated in advance, so the lighting mode of the car light can be adjusted in advance and in time; based on the cloud computing, the response speed is high, and the timeliness is high; meanwhile, the car light control modes are set according to the types of the section of the highway and the road condition information, and lighting requirements of various road conditions can be met.

Description

technical field [0001] The invention relates to a cloud computing-based intelligent vehicle lamp control method. It belongs to the technical field of vehicle lighting. Background technique [0002] At present, most car lights are fixed relative to the car body, and cannot automatically adjust the lighting direction as the car turns. When turning at night, the blind spot on the inside of the curve is likely to cause safety accidents; The light is dark and the headlights are on, but when the car passes by, it will forget to turn off the headlights. Such problems often occur. Investigations show that insufficient lighting conditions or unreasonable lighting directions of automobile lights are one of the important reasons for nighttime traffic accidents. [0003] The existing adaptive front-lighting control system AFS (Adaptive Front-lighting System, AFS) consists of four parts: sensor, ECU, light control system and headlights. The vehicle speed sensor and the steering wheel ...

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): B60Q1/08B60Q1/16
Inventor 徐国卿周翊民陈炎锋常明
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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
Eureka Blog
Learn More
PatSnap group products