| 赵佳美,户文成,蒋从双,曾宇,姚琨.应用声信号特征识别车辆车型及车速范围*[J].,2021,40(3):468-473 |
| 应用声信号特征识别车辆车型及车速范围* |
| Vehicle type and speed recognition based on acoustic signal characteristics |
| 投稿时间：2020-07-12 修订日期：2021-05-06 |
| 中文摘要: |
| 国内外现有研究工作主要针对车型进行识别，该文在此基础上对车速范围的分类识别进行了研究。文中将主成分分析方法和BP神经网络算法结合(PCA-BP)对车型与车速进行识别分析，对比了与BP神经网络算法识别速度的差异。结果表明应用PCA-BP方法的识别效果整体较好，且在识别过程中可以节省计算时长的50~70%左右，大大提高了识别速度。在未来的车辆识别系统实现中，可以在保证良好识别效果的前提下，提高软硬件平台的传输效率，节省识别计算时间。 |
| 英文摘要: |
| The existed research is mainly related to the vehicle type recognition, the recognition of speed-range of vehicles is proposed in this paper. The paper integrates principal component analysis (PCA) with BP to analyze the recognition of speed-range of vehicles, also compares PCA to BP in differences of recognition-speed. The results demonstrate that PCA-BP method is good, and it boosts speed of recognition by 50%－70%. Thus transmission efficiency of both hardware and software can be improved prominently by this method and also saving recognition time based on good quality of vehicle recognition in the future. |
| DOI：10.11684/j.issn.1000-310X.2021.03.019 |
| 中文关键词: 车辆声信号 PCA-BP方法 车型分类识别 车速分类识别 |
| 英文关键词: vehicle acoustic signal PCA-BP method vehicle type recognition vehicle speed recognition |
| 基金项目:北京市科学技术研究院改革发展培育项目（PY2020AQ02） |
|
| 摘要点击次数: 1163 |
| 全文下载次数: 871 |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
