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Auxiliary lighting system for night vehicle driving based on computer vision

A computer vision and vehicle driving technology, which is applied to vehicle components, optical signals, signal devices, etc., can solve problems such as the inability to provide safe lighting distance, the lighting distance of car lights is not up to standard, and traffic accidents are prone to occur, so as to improve visual visibility, The effect of improving clarity, improving work efficiency and safety

Inactive Publication Date: 2017-06-20
YANCHENG TEACHERS UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] AAA's night road test results show that the most widely used halogen lamps cannot provide a safe lighting distance when the vehicle speed reaches about 60 km / h in low beam mode, even when the vehicle speed rises to 77 km / h or more after the high beam is turned on It is also quite dangerous. The traffic police department has also done statistics. Most of the traffic accidents occurred at night, and the number accounted for almost 60% of all traffic accidents. One of the important causes of traffic accidents
[0005] According to the "Regulations for the Implementation of the Road Traffic Safety Law of the People's Republic of China", due to the strong light, the high beam lights of automobiles are generally suitable for motor vehicles to drive on roads with no street lights or poor lighting at night. Due to good lighting in urban areas, low beam lights must be used , especially when the two vehicles meet, even on the road without street lights, they must be 150 meters away from the oncoming vehicle to turn off the high beam lights, switch to the low beam lights, and use the high beam lights. It is impossible to see the road conditions ahead in a few seconds, and traffic accidents are very likely to occur. Therefore, how to choose the appropriate headlights reasonably and intelligently allows the driver to have sufficient time and reaction to deal with various road problems, so as to ensure safe and stable driving. Exercising environment and conditions, this has become the focus of attention of car designers, and even the entire car industry and the country

Method used

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  • Auxiliary lighting system for night vehicle driving based on computer vision
  • Auxiliary lighting system for night vehicle driving based on computer vision
  • Auxiliary lighting system for night vehicle driving based on computer vision

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Embodiment 1

[0023] Such as figure 1 As shown, a computer vision-based auxiliary lighting system for nighttime vehicle driving includes an information collection module, a Raspberry Pi control module and an auxiliary light dynamic control module. The three are connected in sequence. The information collection module here uses an external camera, because The resolution of some driving recorders is low, so it is better to choose an external camera, which can not only improve the driving experience, but also improve the visual recognition of the vehicle. The Raspberry Pi control module is equipped with a computer vision module and a vehicle information monitoring module. It is integrated with the image recognition module and the communication between the three. When the external camera captures an obstruction on the opposite or front road, the collected road information is sent to the Raspberry Pi control module. At this time, the computer vision module in the module uses OpenCV to collect Th...

Embodiment 2

[0026] The difference between this embodiment and Embodiment 1 is that in the above-mentioned computer vision module, the pattern recognition technology is mainly used, that is, the image is divided into predetermined categories according to the statistical characteristics or structural information extracted from the image. In the module, it is necessary to train a classifier and collect a large number of samples of cars driving at night, including positive samples and negative samples. After many repeated tests and inspections, we believe that the ratio of positive samples to negative samples is 1:2. Train the classifier with higher accuracy and wider range of use. By training the classifier, find out the commonality of the samples, generate a file called .xml, and then reference it in the Python language, so as to better realize the processing of vehicle information .

[0027]At the same time, the vehicle information monitoring module in the above embodiment mainly monitors ...

Embodiment 3

[0030] Such as figure 2 As shown, an auxiliary illuminator for nighttime vehicle driving based on computer vision, including a camera, Raspberry Pi and auxiliary lights, the three are connected in sequence, the camera is used to collect road information, and the collected information is transmitted to the Raspberry Pi, the tree After the internal processing of the Raspberry Pi system, the dynamic control of the GPIO is realized, and the output signal is connected to the auxiliary light to complete the intelligent control of the auxiliary light; among them, the Raspberry Pi is equipped with a computer vision module, a vehicle information monitoring module and an image recognition module. The communication of the three is integrated; the computer vision module uses OpenCV to process the collected road information, and the processed information is sent to the vehicle information monitoring module for detection and identification. Through the image recognition module, Python langu...

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Abstract

Then invention relates to an auxiliary lighting system for night vehicle driving based on computer vision. The auxiliary lighting system comprises an information acquisition module, a Raspberry Pi controlling module and an auxiliary lamp dynamic controlling module which are connected in order. The information acquisition module transmits acquired pavement information to the Raspberry Pi controlling module. The Raspberry Pi controlling module achieves dynamic controlling over GPIO after internal processing and completes intelligent controlling over the auxiliary lamp dynamic controlling module. By arranging effective communication integration of all the modules, mutual feedback and mutual sharing of information among all the modules are achieved, so that the problem of night driving is effectively solved, the potential safety hazard is reduced, authentic intelligent light controlling is achieved, visual visibility can be greatly improved, and the potential safety hazard is reduced.

Description

technical field [0001] The invention relates to a night vehicle driving auxiliary lighting system based on computer vision, which belongs to the technical field of computer vision and intelligent control methods. Background technique [0002] With the progress of society and the continuous improvement of people's living standards, my country has basically entered the era of automobile popularization, the number of private cars is gradually increasing, and car purchases are becoming more and more popular. According to relevant data, the total number of automobile sales in my country reached 24.6 million in 2015 , while the increase in car sales has brought economic benefits, the large number of vehicles has also increased the occurrence of more traffic accidents. The number of traffic accidents in China has remained high over the years, and the number of deaths due to traffic accidents has also continued to rise. Although vehicle safety has gradually become an inevitable consid...

Claims

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Application Information

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IPC IPC(8): B60Q1/08
CPCB60Q1/085
Inventor 康素成唐健宋金德梁丁丁姜韵慧
Owner YANCHENG TEACHERS UNIV
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