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基于Trafficnet的交通标志识别分析

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摘要 交通标志识别是无人驾驶技术中的重要组成部分。随着深度学习近些年在全世界范围的快速发展以及无人驾驶技术中对识别效率越来越高的要求。文章提出一种基于改进googlenet网络,以德国交通标志数据集(GTSRB)为测试数据、caffe框架为工具,通过对输入图像进行卷积和下采样操作,提取出交通标志特征,该方法最大的优势就是提升了计算资源的利用率。
作者 甘晓楠 邓超
机构地区 广东科技学院
出处 《南方农机》 2018年第2期131-132,共2页
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