首页> 外文会议>International Congress on Sound and Vibration >RELATION BETWEEN SOUND SOURCES LAYOUT AND ERROR OF SELF-LOCALIZATION METHOD IN TWO-DIMENSION FOR MOBILE ROBOT USING MICROPHONE ARRAY
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RELATION BETWEEN SOUND SOURCES LAYOUT AND ERROR OF SELF-LOCALIZATION METHOD IN TWO-DIMENSION FOR MOBILE ROBOT USING MICROPHONE ARRAY

机译:使用麦克风阵列对移动机器人二维自定位方法的声源布局与误差的关系

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Indoor self-localization of the mobile robot is an important function to achieve tasks such as exploring the building or carrying products in the factory. Although there are many methods to achieve this, most of them face tradeoffs between estimation precision and calculation cost. Previously, we have proposed low-calculation-cost self-localization method for mobile robot using microphone array and ambient sounds as a landmark. Since this method only utilizes sound signals, it requires less calculation resource as a previous precise method which uses cameras or laser range finders, and it can be applied to estimate the robot location with less calculation cost. Although the layout of the sound sources will affect to the self-localization, the relation between them have not unveiled. In this paper, the relation between the condition number, C, which represents the sound sources layout, and the error of self-localization method in two-dimension for mobile robot using microphone array were examined by numerical experiment. The numerical experiment was conducted with 3 sound sources, which were arranged in a 4 m diameter circle, and one robot run on a 2 m diameter circular trajectory. There were 4 conditions to examine the spec and limitation of the estimation method. From the results, it was confirmed that the estimation error of self-localization using DOAs is affected by C. The result indicates that less 1/C lead to a worse estimation error. Additionally, C depends on the sound sources layout such as the location and number of the sound sources. These results indicate that the sound sources layout affects to the accuracy of the self-localization and the distribution of C. From these, the sound sources layout could be evaluated by the value of C.
机译:移动机器人的室内自定位是实现工厂中探索建筑物或携带产品的任务的重要功能。虽然有许多方法来实现这一目标,但它们中的大多数都面临估计精度和计算成本之间的权衡。以前,我们已经提出了使用麦克风阵列和环境声音作为地标的移动机器人的低计算成本自定位方法。由于该方法仅利用声音信号,因此需要较少的计算资源作为使用相机或激光范围取景器的先前精确方法,并且可以应用于以较少的计算成本估计机器人位置。虽然声源的布局将影响自定位,但它们之间的关系尚未亮相。在本文中,通过数值实验检查了表示声源布局的条件号,C,C,其表示声源布局的条件号C,以及使用麦克风阵列的移动机器人的两维的自定位方法的误差。用3个声源进行数值实验,该声源布置在直径4米的圆形中,并且在直径为2m的圆形轨迹上运行一个机器人。有4条条件来检查估计方法的规格和限制。从结果中,确认使用DOA的自定位估计误差受C的影响。结果表明较少的1 / C导致更差的估计误差。另外,C取决于声源布局,例如声源的位置和数量。这些结果表明声源布局影响自定位的准确性和C的分布。从这些中,可以通过C的值来评估声源布局。

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