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Empirical Strategies for Improving Sensor-Fusion System Design.

机译：改善传感器融合系统设计的经验策略。

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摘要

Sensor fusion (or multi-sensor data fusion), the combination of multiple data sources to yield an improved estimate of a physical property or value, is employed extensively in the design of measurement devices, autonomous platforms, and instrumentation. Typical small-scale implementations of sensor fusion comprise a primary processing unit (typically a microprocessor or microcontroller) directly interfaced via low-bandwidth peripheral links to a collection of distinct sensor modules in the form of a star or ring network. However, more complex systems--and those employed in physically large or distant platforms--benefit from the distribution of processing nodes and a more-connected network topology utilizing robust error-correcting communications protocols. This thesis assesses typical network and sensor models to develop and evaluate generalized methods and templates for sensor fusion system design that improve task division, resource management, resilience, and latency, thus reducing the impact of inefficient component selection and misconfiguration on sensor fusion calculations and their hardware implementations.;This thesis encompasses three distinct models derived from real-world platforms and applications, covering the domain of sensor fusion applications in contemporary engineered systems. Each composite system model is simulated through all stages of the engineering design process, with evaluation performed on both synthesized and collected data from sample systems and components. Observations made during design and refinement, along with qualitative and quantitative results of sample evaluation, are amalgamated to derive methodologies, guidelines, warnings, and strategies relevant to the engineering design process for real-world sensor fusion systems; the resulting body of information and recommendations serves as a resource for development capable of improving both design efficiency and system performance.
机译：传感器融合（或多传感器数据融合）是多个数据源的组合，可以产生对物理属性或值的改进估计，已广泛用于测量设备，自主平台和仪器的设计中。传感器融合的典型小规模实施包括通过低带宽外围链路直接连接到星形或环形网络形式的不同传感器模块集合的主处理单元（通常是微处理器或微控制器）。但是，更复杂的系统（以及在物理上较大或较远的平台中使用的系统）受益于处理节点的分布和使用健壮的纠错通信协议的更紧密连接的网络拓扑。本文评估了典型的网络和传感器模型，以开发和评估用于传感器融合系统设计的通用方法和模板，这些方法和模板可改进任务划分，资源管理，弹性和延迟，从而减少无效的组件选择和错误配置对传感器融合计算及其影响。硬件实现。本论文包含从现实世界的平台和应用程序派生的三个不同的模型，涵盖了当代工程系统中传感器融合应用程序的领域。在工程设计过程的所有阶段都对每个复合系统模型进行仿真，并对来自样本系统和组件的合成数据和收集数据进行评估。在设计和改进过程中所进行的观察，以及样品评估的定性和定量结果，被合并以得出与现实世界中的传感器融合系统的工程设计过程有关的方法，指导方针，警告和策略；由此产生的信息和建议可以作为能够同时提高设计效率和系统性能的开发资源。

著录项

  • 作者

    Hawk, John Roosevelt, IV.;

  • 作者单位

    The Cooper Union for the Advancement of Science and Art.;

  • 授予单位 The Cooper Union for the Advancement of Science and Art.;
  • 学科 Engineering Mechanical.;Engineering System Science.;Engineering Electronics and Electrical.
  • 学位 M.E.
  • 年度 2014
  • 页码 2014 p.
  • 总页数 2014
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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