Highway safety risk identification method and system based on computer vision and artificial intelligence
A computer vision and safety risk technology, applied in computer parts, character and pattern recognition, calculation and other directions, can solve the problems of road safety risk identification efficiency, low accuracy and reliability, and achieve the effect of improving efficiency
Active Publication Date: 2021-01-01
RES INST OF HIGHWAY MINIST OF TRANSPORT
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[0007] The present invention aims to provide a road safety risk identification method and system based on computer vision and artificial intelligence to improve the existing problems of low efficiency, accuracy and reliability of road safety risk identification
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[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.
[0026] Such as figure 1 Shown, a kind of road safety risk identification method based on computer vision and artificial intelligence of the present invention comprise...
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The present invention provides a road safety risk identification method and system based on computer vision and artificial intelligence. The method includes: extracting image features of road image information, identifying target areas in the road image that contain preset safety hazard targets and the targets The target category in the area, the scene information of the road section in the road image, and the first safety risk information in the road image; the feature information of each road section is retrieved; the information fusion is performed on the corresponding road image, and each road image and road after fusion are obtained. Knowledge representation of the video sequence; identifying the second safety risk information of the road video sequence; according to the knowledge representation of the road video sequence, the first safety risk information and the second safety risk information, based on a pre-trained second decision model , identifying the final safety risk information of the road video sequence. The invention can improve the efficiency, accuracy and reliability of road safety risk identification.
Description
technical field [0001] The invention relates to the field of road safety risk detection, in particular to a road safety risk identification method and system based on computer vision and artificial intelligence. Background technique [0002] With the continuous growth of car ownership and the acceleration of urbanization, road traffic safety has become one of the main issues affecting the level of national production safety in our country. According to statistics, before 2002, the total number of traffic accidents in my country was on the rise year by year. From 2002 to 2015, safety accidents gradually decreased from a peak of 773,137 in 2002 to 187,781 in 2015, a drop rate of 75.71%. This shows that my country's road traffic safety situation is gradually improving. However, according to the statistics in 2015, the four indicators of national road traffic accidents, number of injuries, deaths and direct economic losses reached 188,000 cases, 200,000 people, 58,000 people and...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/41G06N3/045G06F18/251G06F18/24
Inventor 李萌张潇丹李春阳孙传姣陈永胜张巍汉
Owner RES INST OF HIGHWAY MINIST OF TRANSPORT