Traffic signal lamp identification system and method
A traffic signal and identification system technology, applied in the field of traffic signal identification system, can solve the problems of affecting identification results, small range of traffic lights, and inability to detect the position and color of traffic lights well, so as to improve identification accuracy and reduce interference. Effect
Pending Publication Date: 2020-09-18
SHENZHEN LONGHORN AUTOMOTIVE ELECTRONICS EQUIPCO
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However, the range of traffic lights in the collected real-time images is relatively small, and due to the influence of lighting conditions, the edges and colors of traffic lights will change, resulting in the system not being able to detect the position and color of traffic lights well, thus affecting recognition result
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[0054] The present application will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following exemplary embodiments and descriptions are only used to explain the present invention, not as a limitation to the present invention, and, in the case of no conflict, the embodiments in the application and the features in the embodiments can be combined with each other .
[0055] Such as figure 1 As shown, the embodiment of the present invention provides a traffic signal light recognition system, including:
[0056]Acquisition module 1, is used for collecting the road condition image that motor vehicle travels to traffic intersection as real-time image;
[0057] The identification module 3 is connected with the acquisition module 1, and is used to identify the real-time image by using a sample model generated based on deep learning convolutional neural network training and learning, and extr...
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The embodiment of the invention provides a traffic signal lamp identification system and method, and the system comprises an acquisition module which is used for acquiring a road condition image of amotor vehicle driving to a traffic intersection as a real-time image; an identification module which is connected with the acquisition module and is used for identifying the real-time image by utilizing a sample model generated by training and learning based on a deep learning convolutional neural network and extracting real-time information of the traffic signal lamp from the real-time image; anda control module which is connected with the identification module and is used for generating a corresponding control instruction according to the traffic signal lamp real-time information and sending the control instruction to an automobile driving control system. According to the embodiment of the invention, the interference of the illumination or angle problem of the real-time image on systemjudgment can be effectively reduced, and the recognition accuracy is improved.
Description
technical field [0001] Embodiments of the present invention relate to the technical field of driving safety systems, and in particular to a traffic signal light recognition system and method. Background technique [0002] At present, the traffic signal light recognition system generally recognizes by processing the road condition image of the motor vehicle at the traffic intersection. First, the real-time image of the traffic intersection is collected, and then the real-time image is subjected to shape detection to determine the position of the traffic signal light and the timing area. Processing and color characteristics (RGB) to identify the color of traffic lights and the time value of the time zone, and send corresponding signals to control the start and stop of motor vehicles. However, the range of traffic lights in the collected real-time images is relatively small, and due to the influence of lighting conditions, the edges and colors of traffic lights will change, res...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/584G06N3/045G06F18/214
Inventor 罗小平曾峰曹继
Owner SHENZHEN LONGHORN AUTOMOTIVE ELECTRONICS EQUIPCO