首页> 外文会议>2014 13th International Conference on Control Automation Robotics amp; Vision >Distributed mobile microphone arrays for robot navigation and acoustic source localization
【24h】

Distributed mobile microphone arrays for robot navigation and acoustic source localization

机译:用于机器人导航和声源定位的分布式移动麦克风阵列

获取原文
获取原文并翻译 | 示例

摘要

In distributed microphone arrays, each microphone is connected to a separate recording device, which requires compensation for their different clock shifts. In this paper, we propose a new type of distributed arrays, in which the microphones are moving. This mobility introduces innovation that can be used to estimate the positions of both the sound sources and the microphones, as well as compensate for the clock shifts. Estimation is done using extended Kaiman filters with heuristics that improve the convergence. We discuss the proposed method in the context of mobile robotics: each microphone is attached to a controllable mobile robot. In this scenario, the array can be used to localize sound-emitting objects in the robot's environment, while providing information about robots' positions. Results show that the error of estimating robots' positions is as low as 5 cm with the source source localization error of 6 mm and the clock synchronization error of 178 μs, for the case of 9 microphones and 5 sound sources.
机译:在分布式麦克风阵列中,每个麦克风都连接到单独的记录设备,这需要对其不同的时钟偏移进行补偿。在本文中,我们提出了一种新型的分布式阵列,麦克风在其中移动。这种移动性带来了创新,可用于估算声源和麦克风的位置,以及补偿时钟偏移。估计是使用扩展的Kaiman滤波器完成的,该滤波器具有启发式功能,可以改善收敛性。我们在移动机器人技术中讨论所提出的方法:每个麦克风都连接到可控的移动机器人上。在这种情况下,该阵列可用于在机器人环境中定位发声对象,同时提供有关机器人位置的信息。结果表明,对于9个麦克风和5个声源,估计机器人位置的误差低至5 cm,其中源声源定位误差为6 mm,时钟同步误差为178μs。

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