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Scorpion: A Modular Sensor Fusion Approach for Complementary Navigation Sensors

机译:Scorpion:用于互补导航传感器的模块化传感器融合方法

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There is a great need to decrease our reliance on GPS by utilizing novel complementary navigation sensors. While a number of complementary navigation sensors have been studied, each one has trade-offs in availability, reliability, accuracy and applicability in various environments. The development of a robust estimator therefore requires the integration of many diverse sensors into a sensor fusion platform. Unfortunately, as the number of sensors added to the system grows larger, so does the difficulty of developing a sensor fusion solution that optimally integrates them all into a single navigation estimate. In addition, a sensor fusion solution with many sensors is susceptible to sensor failures, modeling errors, and other phenomena which can cause degradation of the fusion solution. In this paper, we propose an open architecture for sensor fusion that allows for the development of modular navigation filters, sensor integration strategies, and integrity algorithms. The primary goal of this architecture is to allow for the rapid development of a novel complementary PNT sensor, fusion strategy, or integrity algorithm without modification of any other part of the system. In the future, this architecture will enable the community to develop a repository of well-tested software modules for sensor fusion which will in turn allow for the iterative development of robust estimators, where users may pick and choose the components that they wish to use from the repository and build an estimator that fits their application. In addition, domain experts in the community on a particular sensor phenomenology may contribute modules to the repository without needing to be experts in all aspects of sensor fusion. To facilitate this community engagement, we have developed an open source implementation of the architecture, which will be made available as a reference implementation of the architecture and approach. This paper details the design and overall approach to the open architecture, as well as shows some experimental results that were obtained by running flight data through the reference implementation.
机译:迫切需要通过利用新颖的互补导航传感器来减少对GPS的依赖。尽管已经研究了许多互补的导航传感器,但每个传感器在各种环境下的可用性,可靠性,准确性和适用性之间都需要权衡取舍。因此,强大的估算器的发展需要将许多不同的传感器集成到传感器融合平台中。不幸的是,随着添加到系统中的传感器数量的增加,开发传感器融合解决方案以将它们全部最佳地集成到单个导航估计中的难度也越来越大。此外,具有许多传感器的传感器融合解决方案容易受到传感器故障,建模错误以及其他可能导致融合解决方案性能下降的现象的影响。在本文中,我们提出了一种用于传感器融合的开放式体系结构,该体系结构允许开发模块化导航过滤器,传感器集成策略和完整性算法。该体系结构的主要目标是允许在不修改系统任何其他部分的情况下快速开发新型的互补PNT传感器,融合策略或完整性算法。将来,这种体系结构将使社区能够开发经过良好测试的软件模块,以用于传感器融合,从而可以迭代开发健壮的估算器,用户可以从中选择想要使用的组件。存储库,并构建适合其应用程序的估算器。此外,社区中特定传感器现象学领域的专家可以向存储库贡献模块,而无需成为传感器融合各个方面的专家。为了促进社区参与,我们开发了该架构的开源实现,将作为该架构和方法的参考实现提供。本文详细介绍了开放式体系结构的设计和总体方法,并显示了通过参考实现运行飞行数据所获得的一些实验结果。

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