文章摘要
凤鹏飞,金会庆.基于音频检测的交通事故自动报警系统研究[J].唐山学院学报,2017,30(3):50-54
基于音频检测的交通事故自动报警系统研究
A Research on Automatic Alarm System for Traffic Accidents Based on Audio Detection
  
DOI:10.16160/j.cnki.tsxyxb.2017.03.011
中文关键词: 交通事故  音频检测  自动报警  特征算法
英文关键词: traffic accident  audio detection  automatic alarm  feature algorithm
基金项目:国家科技支撑计划项目(2011BAK20B00)
作者单位
凤鹏飞 安徽三联学院, 合肥 230601 
金会庆 安徽三联学院, 合肥 230601
国家车辆驾驶安全工程技术研究中心, 合肥 230601 
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中文摘要:
      在音频检测技术研究的基础上,设计了交通事故自动报警系统,此系统根据车辆的声强和声谱等特性,通过多特征碰撞声检测算法检测是否发生了碰撞型交通事故。文章对多特征碰撞声检测算法以及碰撞声信号时域的能量分布特征进行了分析,验证了多特征碰撞声检测算法的高精度和可靠性。该研究可为实现交通事故的快速救援、降低事故中因抢救延迟造成的死亡率等提供技术支持。
英文摘要:
      Based on the research into audio detection technology, the authors of this paper have designed an automatic alarm system for traffic accidents, which detects whether a traffic accident happens through the analysis of the intensity and spectrum of the sound produced by a vehicle in collision and with the multi-feature collision detection algorithm. In this paper, the multi-feature collision detection algorithm and the characteristics of the time domain energy distribution of the colliding acoustic signal are analyzed and the accuracy and reliability of the multi-feature collision detection method are verified. The study can serve as technical support for the rapid rescue in a traffic accident and the reduction of the mortality caused by delayed rescue during an accident.
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