Traffic signal light auxiliary recognition system based on mobile telephone and method

Abstract

The invention discloses a traffic signal light auxiliary recognition system based on a mobile telephone, which comprises a vehicle running information acquisition module, a signal light information acquisition module, a signal light data simulation module and an information output module. A recognition method of the recognition system is further disclosed. The method includes the following steps: step1, acquiring signal light information and storing the information in a local database of the mobile phone; step2, acquiring vehicle running information; step3, rebuilding signal light data, simulating state output, combining information of step1 and step2 for calculation, conducting rebuilding of corresponding information in the database when judging that vehicles are in a range nearby the signal light and outputing real-time state of the signal light through image or voice. The system and the method resolve the problem that the existing auxiliary recognition technology is high in cost and small in application range and affects normal perception.

Description

technical field [0001] The invention relates to the field of mobile positioning technology, in particular to an auxiliary driving system based on mobile positioning technology for people with color blindness or color weakness. Background technique [0002] Statistics show that the colorblindness rate of males in my country is about 4.71±0.074%, and the colorblindness rate of females in my country is 0.67±0.036%. According to this ratio, the number of colorblind people in my country has reached 72 million by 2011. Among these patients, except for a small number of achromatops who cannot distinguish colors at all, other patients can distinguish colors under certain conditions, such as red for khaki, green for light yellow, etc. Although they have a certain ability to recognize colors, patients with color blindness or color weakness will be slower than normal people in sensitivity, and the general delay time is about 0 to 5 seconds. People with color blindness or color weaknes...

AI Technical Summary

Problems solved by technology

It is difficult for the camera to quickly locate the traffic light area while driving, so the delay may be large

In addition, under the influence of weather conditions and external light, the image recognition results may be deviated, and the solution needs to install cameras, small computing devices and displays on the car, which is costly and has low user acceptance.

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