Blind person traffic intersection auxiliary method based on rapid deep neural network and mobile intelligent equipment

Abstract

The invention discloses a blind person traffic intersection auxiliary method based on a rapid deep neural network and mobile intelligent equipment, and belongs to the field of electronic information. According to the method, a neural network Q-DNN suitable for the mobile intelligent equipment is designed by referring to other rapid deep neural networks, and an excellent network structure is introduced into the network, so that the feature extraction capability of the Q-DNN network is enhanced, and redundant network parameters are reduced. The network realizes accurate identification of important targets at a traffic intersection and meets the requirements of real-time operation on mobile intelligent equipment. In addition, the blind person is guided to go to the correct position of a zebra crossing in combination with GPS and detection results. By detecting the direction of the zebra crossing, the blind person is effectively assisted in adjusting the walking direction and smoothly passing through the zebra crossing. A traffic light signal classification method based on an HSI space is provided according to a traffic light detection result, and the traffic light signal identification problem is solved. Finally, the method is combined, a traffic intersection blind person assisting process based on the mobile intelligent equipment is designed, and the blind person is effectively assisted to safely and smoothly pass through the traffic intersection.

Description

technical field [0001] The invention belongs to the field of electronic information, and is an auxiliary method based on a fast deep neural network and capable of assisting blind people to identify traffic lights and zebra crossings. Background technique [0002] According to statistics, there are about 17.3 million blind people in China, and the safe travel of blind people has attracted much attention. At present, the auxiliary tools used by the blind to travel mainly include guide sticks and guide dogs. Among them, the function of the blind guide stick is single, the detection range is not wide, and the information obtained can only rely on the blind person's own feelings. It is difficult to provide effective information such as zebra crossings and traffic lights in complex scenes such as traffic intersections. Guide dogs can guide the blind to avoid obstacles. However, it needs to go through a series of long training, and has problems such as high price and scarce quanti...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of expensive and complicated equipment and difficult to use in the above-mentioned auxiliary method for blind persons at traffic intersections, the present invention proposes a method for assisting blind persons at traffic intersections based on fast deep neural network and mobile intelligent equipment

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