A method and system for detecting occluded traffic signs based on mr-ssd

Abstract

The invention discloses a method and system for detecting occluded traffic signs based on MR‑SSD, which includes: using a cooperative modulation generation confrontation network to fill in images, and at the same time performing image enhancement; constructing an MR‑SSD feature extraction network, wherein the backbone module extracts The feature map is input into the feature fusion module for feature fusion, and the preliminary prediction classification and positioning results are obtained by the classification and positioning of the prediction module; according to the preliminary prediction classification confidence value and the intersection and merger between the prior frame and the ground truth frame belonging to the same area Adjust the ratio of IoU to obtain the classification and positioning results of the secondary prediction; divide the category and positioning results of the blocked traffic signs to obtain the final predicted classification and positioning results; continue to train the network; input the image to be recognized into the trained In the network, the type of traffic signs contained in the image is judged, and the specific location is framed at the same time. The invention can effectively improve the detection accuracy and speed of the blocked traffic signs.

Description

technical field [0001] The invention relates to an MR-SSD-based occluded traffic sign detection method and system, and belongs to the technical field of image processing technology in computer vision. Background technique [0002] Traffic sign detection is an important part of the vehicle driving assistance system, and solving the problem of traffic sign detection is of great significance to the development of the vehicle driving field. In the vehicle driving system, the weather environment of the traffic sign will have a great influence on the decision-making made by the driving system. Bad weather conditions will lead to problems such as low visibility, and snow, messy leaves, and sand and dust accumulation will block the traffic at the same time. In order to effectively reduce violations and traffic accidents, the recognition system needs to recognize the correct blocked traffic sign indication in real time. [0003] In 2017, a method for calculating the occlusion probab...

AI Technical Summary

Problems solved by technology

[0011] In order to overcome the defect that the accuracy of the existing traffic sign detection method is limited under the influence of two factors of bad conditions and occlusion, which leads to a decrease in the detection accuracy of traffic signs, the present invention provides an MR-SSD-based occluded traffic sign detection method And system, effectively improve the detection accuracy and speed of blocked traffic signs

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