结合超宽带和GPS进行室内室外车辆定位

Javier González, J. Blanco, C. Galindo, A. Ortiz-de-Galisteo, J. Fernández-Madrigal, F. Moreno, Jorge L. Martínez
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引用次数: 47

摘要

GPS接收器是基于卫星的设备,广泛用于车辆定位,由于其局限性,不适合在室内或密集的城市环境中工作。另一方面,超宽带(UWB)是一种用于高效无线通信的技术,最近被用于室内环境下的车辆定位,并取得了可喜的成果。本文的重点是将这两种技术结合起来,在混合场景(室内和室外情况)下实现车辆的精确定位,这在一些工业应用中是典型的。我们的方法是基于蒙特卡罗定位算法(也称为粒子滤波)中传感器信息的组合,这表明它适合于概率地处理各种感官数据。我们的方法已经在一个真实的机器人上进行了令人满意的性能测试,该机器人具有一个UWB主天线和一个GPS接收器,在室内区域放置了三个UWB从天线的室内-室外场景中。
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Combination of UWB and GPS for indoor-outdoor vehicle localization
GPS receivers are satellite-based devices widely used for vehicle localization that, given their limitations, are not suitable for performing within indoor or dense urban environments. On the other hand ultra-wide band (UWB), a technology used for efficient wireless communication, has recently being used for vehicle localization in indoor environments with promising results. This paper focuses on the combination of both technologies for accurate positioning of vehicles in a mixed scenario (both indoor and outdoor situations), which is typical in some industrial applications. Our approach is based on combining sensor information in a Monte Carlo localization algorithm (also known as particle Filter), which has revealed its suitability for probabilistically coping with a variety of sensory data. The performance of our approach has been satisfactorily tested on a real robot, endowed with a UWB master antenna and a GPS receiver, within an indoor-outdoor scenario where three UWB slave antennas were placed in the indoor area.
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