【摘要】 笔者提出基于Androidauto的汽车辅助方向红绿灯识别算法,对当前红绿灯识别算法的优缺点进行分析,通过对获取图像颜色分析提出方向红绿灯图片获取方式,并对噪音图片采取向量数据采集样本的方法排除噪音。同时,分析对称算法时间复杂度和空间复杂度,在程序中采用防止内存重复占用等策略比较算法,为推动汽车辅助驾驶的方向红绿灯辅助判断和降低路口交通事故概率等提供技术支撑。更多还原

【Abstract】 This paper puts forward the algorithm of vehicle auxiliary direction traffic light recognition based on Android auto, and analyzes the advantages and disadvantages of the current traffic light recognition algorithm. Through the color analysis of the acquired image, it puts forward the way to obtain the direction traffic light image, and adopts the method of directional data sampling for the noise image to eliminate the noise, The time complexity and space complexity of the symmetric algorithm are analyzed, and the strategy of preventing repeated memory occupation is adopted in the program to compare the time comprehensive advantages of the algorithm. It provides technical feasibility to promote the direction of vehicle assisted driving, traffic light assisted judgment, and reduce the probability of traffic accidents at intersections.更多还原