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中文摘要：
聪明的车辆需要前面车辆的拐弯光信息在自治航行作决定。一个识别算法被设计得到拐弯光的信息。接近的中心分割方法被设计由使用几何学信息把前面车辆图象划分成二部分。被词法特征过滤的车辆图象的仍然是的象素的数字被适应阀值方法得到，并且它被用于认出闪光的灯。试验性的结果证明算法不能仅仅区分车辆的二盏拐弯灯而且认出他们的信息。算法是安静的在即时性能有效、柔韧、令人满意。
英文摘要：
Intelligent vehicle needs the turn light information of front vehicles to make decisions in autonomous navigation. A recognition algorithm was designed to get information of turn light. Approximated center segmentation method was designed to divide the front vehicle image into two parts by using geometry information. The number of remained pixels of vehicle image which was filtered by the morphologic feaatres was got by adaptive threshold method, and it was applied to recognizing the lights flashing. The experimental results show that the algorithm can not only distinguish the two turn lights of vehicle but also recognize the information of them. The algorithm is quiet effective, robust and satisfactory in real-time performance.
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