Precise relative ego-positioning by stand-alone RTK-GPS

T. Speth, Alexander Kamann, T. Brandmeier, U. Jumar
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引用次数: 7

Abstract

Intelligent Transportation System (ITS) applications for integral and cooperative vehicle safety as well as some Advanced Driver Assistance Systems (ADASs) benefit from highly accurate positioning. Shared position data between dynamic traffic objects via Inter-Vehicle Communication (IVC) are the backbone for deriving vehicle trajectories. These can be used for assessing a situation's criticality in vehicle safety. However, with conventional Global Navigation Satellite System (GNSS) measurements, e.g. using Global Positioning System (GPS), the required accuracy cannot be achieved. There are known Cooperative Positioning (CP) methods like Differential GNSS (DGNSS) and Real-Time Kinematic (RTK) for enhanced positioning. Augmentation data are typically transmitted by a wireless communication link like cellular mobile communication. However, there exist dead spots where no correction data are available. For this reason, we introduce in this paper a method for stand-alone RTK by using own stored observations. Thereby, precise relative ego-positioning is possible during correction data interruption. The buffer time is varied in experiment and the error distribution is analyzed.
通过独立的RTK-GPS精确的相对自我定位
智能交通系统(ITS)的整体和协作车辆安全应用以及一些高级驾驶辅助系统(ADASs)受益于高度精确的定位。通过车辆间通信(IVC)实现动态交通对象之间的位置共享数据是获取车辆轨迹的基础。这些可以用于评估车辆安全情况的严重性。然而,使用传统的全球导航卫星系统(GNSS)测量,例如使用全球定位系统(GPS),无法达到所需的精度。目前已知的协作定位(CP)方法,如差分GNSS (DGNSS)和实时运动学(RTK),用于增强定位。增强数据通常通过类似蜂窝移动通信的无线通信链路传输。然而,存在没有校正数据的盲点。为此,本文介绍了一种利用自己存储的观测数据进行独立RTK的方法。因此,可以在校正数据中断期间进行精确的相对自我定位。实验中对缓冲时间进行了变化,并对误差分布进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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