Scale-variant traffic sign detection

Sijuan Wang, Zhiqiang You
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Abstract

Accurate detection of traffic signs is vital in many applications, such as driving assistance systems and autonomous vehicles. However, since urban scenes are often cluttered with confusing objects, the signs may appear scale-variant (from large to small sizes) in a single image or image sequences of traffic scenes, when autonomous vehicles are moving fast; traffic signs therefore need to be detected early and accurately when they appear small in the images, and tracked for timely recognition and decision.
变尺度交通标志检测
在驾驶辅助系统和自动驾驶汽车等许多应用中,准确检测交通标志至关重要。然而,由于城市场景经常充斥着令人困惑的物体,当自动驾驶汽车快速行驶时,这些标志可能会在单个图像或交通场景图像序列中出现规模变化(从大到小);因此,当交通标志在图像中出现很小的时候,需要及早、准确地检测出来,并进行跟踪,以便及时识别和决策。
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