• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building Acoustics >Acoustical unmanned aerial vehicle detection in indoor scenarios using logistic regression model
【24h】

Acoustical unmanned aerial vehicle detection in indoor scenarios using logistic regression model

机译：使用Logistic回归模型的室内情景中的声学无人驾驶飞行器检测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this study, the data obtained from the acoustic measurements were used to train a model based on logistic regression in order to detect a quadrotor’s vehicle in indoor environment. To simulate a real environment, we made sound recordings in a shopping center. The sounds related to two scenarios were recorded: only anthropic noise and anthropic noise with background music. Later, we reproduced these sounds in an indoor environment of the same size and characteristics as the shopping center. During the simulation test, a drone placed at different distances from the sound level meter was turned on at different speeds to identify their presence in complex acoustic scenarios. Subsequently, these measurements were used to implement a model based on logistic regression for the automatic detection of the unmanned aerial vehicle. Logistic regression is widely used in pattern recognition of the binary dependent variable. This model returns high value of accuracy (0.994), indicating a high number of correct detections. The results obtained in this study suggest the use of this tool for unmanned aerial vehicle detection applications.
机译：在该研究中，从声学测量获得的数据用于训练基于逻辑回归的模型，以便检测室内环境中的四轮车的车辆。为了模拟真实环境，我们在购物中心进行了录音。记录了与两种情况相关的声音：只有与背景音乐的人类噪声和人类噪声。后来，我们在室内环境中再现了与购物中心相同的室内环境的声音。在模拟测试期间，以不同的速度打开距离声级仪表不同距离处的无人机，以识别它们在复杂声学场景中的存在。随后，这些测量用于基于用于自动检测无人空中车辆的逻辑回归来实现模型。 Logistic回归广泛用于二进制依赖变量的模式识别。该模型返回高值的精度（0.994），表示大量正确检测。本研究中获得的结果表明该工具用于无人驾驶飞行器检测应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号