多传感器数据融合的编程语言支持:飞溅方法*

Soonhyun Noh, Cheonghwa Lee, Myungsun Kim, Seongsoo Hong
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引用次数: 1

摘要

我们提出了Splash编程框架来支持多传感器数据融合的有效实现。多传感器数据融合在自主机器中得到了广泛的应用,因为它在准确性、可靠性和鲁棒性方面优于仅使用单个传感器的算法。了解到开发人员长期以来一直缺乏对多传感器数据融合的编程语言支持,我们提供了专用的Splash语言结构以及用于多传感器数据融合的形式化语义。具体来说,我们分析了多传感器数据融合算法的结构特点,并得出了语言结构必须解决的技术问题。然后,我们给出了语言结构及其形式语义的详细说明。最后,通过在车道保持辅助系统中的应用验证了该方法的实用性和有效性。
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Programming Language Support for Multisensor Data Fusion: The Splash Approach*
We present the Splash programming framework to support the effective implementation of multisensor data fusion. Multisensor data fusion has been widely exploited in autonomous machines since it outperforms algorithms using only a single sensor, in terms of accuracy, reliability and robustness. Knowing that developers have long been lacking programming language support for multisensor data fusion, we offer a dedicated Splash language construct along with formal semantics for multisensor data fusion. Specifically, we analyze the structural characteristics of multisensor data fusion algorithms and derive technical issues that the language construct must tackle. We then give a detailed account of the language construct along with its formal semantics. Finally, we validate its utility and effectiveness via its application to a lane keeping assist system.
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