arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1807.05072eess.SPcs.ITcs.SYeess.SYmath.IT
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关于通用传感器注册

On Universal Sensor Registration

Rafael – Advanced Defense Systems(拉斐尔先进防御系统)

Daniel Sigalov, Aharon Gal, Boaz Vigdor

AI总结:

本文提出了一种简单方法用于目标跟踪中的传感器注册,通过利用机会目标实现多维传感器的同时校准,无需假设动态模型,且在实际应用中可实现绝对校准。

摘要:

我们提出了一种用于目标跟踪应用中传感器注册的简单方法。所提出的方法利用机会目标,并不假设其动态模型,允许同时校准多个三维和二维传感器。在两传感器场景中只能实现相对注册,而在实际有三个或更多传感器的情况下可以实现无歧义的绝对校准。推导出的算法易于实现,不需要参数调优。算法的性能在数值研究中进行了测试。

英文摘要:

We present a simple approach for sensor registration in target tracking applications. The proposed method uses targets of opportunity and, without making assumptions on their dynamical models, allows simultaneous calibration of multiple three- and two-dimensional sensors. Whereas for two-sensor scenarios only relative registration is possible, in practical cases with three or more sensors unambiguous absolute calibration may be achieved. The derived algorithms are straightforward to implement and do not require tuning of parameters. The performance of the algorithms is tested in a numerical study.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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