SIFT算法在指示类交通标志识别中的应用

Application of SIFT Algorithm in Indicating Traffic Signs Recognition

道路交通标志的自动识别技术在车辆自动驾驶领域至关重要,但是自然场景下,光线强弱、障碍物遮挡以及拍摄视角等干扰因素往往会给标识牌的正确识别带来挑战。针对指示类交通标志,介绍了一种能准确识别标识牌的方法,通过HSV颜色特征定位标识牌具体位置后,利用SIFT算法进行特征相似度匹配,实现标识牌的快速分类。实验结果表明,SIFT算法特有的尺度不变特征可以有效提升路标的识别准确率和鲁棒性,在一定程度上为智能驾驶领域道路标识牌识别技术的发展提供理论依据。

The automatic recognition technology of road traffic signs is very important in the field of vehicle automatic driving.However,in natural scenes,interference factors such as light intensity,obstacle occlusion and shooting angle often bring challenges to the correct identification of road traffic signs.This paper introduces a method that can accurately identify signs for traffic signs.After locating the specific location of signs by HSV color features,SIFT algorithm is used to match the features similarity,so as to realize the rapid classification of signs.The experimental results show that the scale invariant features of SIFT algorithm can effectively improve the recognition accuracy and robustness of road signs,and provide a theoretical basis for the development of road sign recognition technology in the field of intelligent driving.