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The system, according to various aspects, may be used to enhance visibility of signs along a roadway or at an intersection between two or more roadways, to regulate traffic through a construction zone, to provide traffic information to motorists traveling on a highway, or to provide vacancy ...
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vision–language model; traffic sign detection; drone images; multi-modal learning 1. Introduction As part of fundamental road infrastructures, traffic signs play a key role in ensuring transportation safety and smooth traffic flow [1,2]. Traffic signs provide essential guidance to restrict the ...
Since many existing traffic sign datasets contain images taken by standard optical cameras [42], we evaluated our method by using a CNN-based image encoder with the assumption of traffic signs recorded by standard optical cameras. However, it is possible that some autonomous vehicles use different...
For example, objects such as trees or road signs can hide the vehicles in an image, at which point background subtraction cannot recognize vehicles because it regards those obstacles as repeated background. In the post-deep-learning era, the convolutional neural network (CNN) model emerged as ...