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A distributed sound source surveillance system using autonomous vehicle network

机译:利用自动驾驶汽车网络的分布式声源监控系统

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Due to the physical limitation, single autonomous vehicle cannot afford a large aperture microphone array for high performance sound source localization. Motivated by Wireless Sensor Network (WSN) and multiple-base sonar technologies, a distributed sound source localization system prototype is presented in this paper using multiple autonomous vehicles as its mobile platforms. Similar to a typical WSN system, the system includes a base station and multiple sensor nodes. Each node is consisted of a series of sensors, a set of signal acquisition and processing unit, a wireless communication unit and a core MCU as its brain. Adopting TDOA-based direction finding method and LS-based Angle of Arrival localization method, the system operates autonomously and can search/localize the sound source in real time. The optimal sensor deployment technique is also considered which leads to a strategic vehicle control solution. The performance of the system is demonstrated via a series of experiments and the results show that it works well in the designated test field and it can meet the requirements of many application scenarios.
机译:由于物理限制,单个自动驾驶汽车无法提供用于高性能声源定位的大口径麦克风阵列。在无线传感器网络(WSN)和多基地声纳技术的推动下,本文提出了一种以多辆自动驾驶汽车作为其移动平台的分布式声源定位系统原型。类似于典型的WSN系统,该系统包括一个基站和多个传感器节点。每个节点都由一系列传感器,一组信号采集和处理单元,一个无线通信单元以及一个作为其大脑的核心MCU组成。该系统采用基于TDOA的测向方法和基于LS的到达角定位方法,可自主运行,并可实时搜索/定位声源。还考虑了最佳的传感器部署技术,这导致了战略性的车辆控制解决方案。通过一系列实验证明了该系统的性能,结果表明该系统在指定的测试领域运行良好,可以满足多种应用场景的要求。

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