【摘要】 为了提高激光雷达识别行人的正确率,提出了一种可以降低行人识别错误率的多算法组合。该方法先采用高斯滤波算法降低噪声的影响,然后利用近邻聚类算法对数据进行聚类处理,再利用组合的聚类中心角算法和最小二乘圆拟合算法对聚类后的数据进行行人腿部检测,完成行人的识别。该多算法组合与单一使用一种识别算法相比,行人识别的错误率由40%降低到了10%以下,充分说明该算法组合具有良好的性能。更多还原

【Abstract】 In order to improve the accuracy of laser radar recognition of pedestrians,a multi algorithm combination that can reduce the error rate of pedestrian recognition is proposed. This method first uses Gauss filter algorithm to reduce noise,and then use the nearest neighbor clustering algorithm for data clustering,and then use the clustering center combination angle algorithm and least square circle fitting method for Pedestrian Leg detection of clustering data after completion of pedestrian recognition. Compared with a single recognition algorithm,the error rate of pedestrian recognition is reduced from 40% to less than 10%,which shows that the algorithm has good performance.更多还原