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URBAN NAVIGATION SYSTEM FOR AUTOMOTIVE APPLICATIONS USING HSGPS, INERTIAL AND WHEEL SPEED SENSORS

机译:使用HSGP,惯性和轮速传感器的汽车应用的城市导航系统

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Land vehicle navigation in urban areas, where masking effects are very frequent, is a major challenge for both the accuracy and the integrity of GPS-only solution. Several strong effects linked to urban canyon environments can seriously degrade the final position solution. Thus, the sole use of a GPS to navigate in urban areas has been proven to be challenging when high performances are expected in terms of accuracy and integrity of the computed solution. This paper proposes a "Smooth correction function" applied to the GPS received signals. This function works on the reliability of the pseudo-range measurements when affected by diverse sources of errors. Thus, to deal with different phenomena such as multipath or low C/No signals, a merging technique between the pseudo-range and Doppler measurements is proposed. The coupling of GPS with other positioning systems has been shown to be part of a solution to overcome satellites visibility problem in urban areas. The idea is to combine external measurements together with GPS measurements in order to improve the overall navigation system performance even during complete GPS signal outages. Dead-reckoning sensors are a classical solution to this problem. Nevertheless, due to the lack of stability of these sensors, GPS is still required to correct their correlated errors and give an absolute position when available. Classical land vehicle navigation solutions perform GPS augmentation by using Wheel Speed Sensors (WSS) and gyros. This paper looks at the potential benefits of a coupling approach between these two types of sensors for a complete land vehicle navigation solution. WSS provide wheel angular rate measurements and are fundamental components in the antilock braking system (ABS). Finally, this paper introduces a multi-aided navigation system specifically designed for land vehicle navigation in urban environments. Not only sensors particularly developed for land vehicle navigation are tested, but also an interesting use of the received GPS signals (pseudo-range and Doppler) is done, leading to an optimized tight integration scheme. Test campaigns are conducted to validate the performance of the proposed integrated land vehicle navigation system. The contribution of the system is evaluated for different scenarios (urban and open areas).
机译:城市地区的陆地车辆导航,遮蔽效果非常频繁,对于只有GPS解决方案的准确性和完整性都是一个重大挑战。与城市峡谷环境相关的几种强大效果可以严重降低最终的位置解决方案。因此,当在计算解决方案的准确性和完整性方面,预期高性能时,唯一的使用GPS将在城市地区导航到城市地区的挑战。本文提出了应用于GPS接收信号的“平滑校正功能”。该功能适用​​于受不同误差源影响的伪距离测量的可靠性。因此,为了应对不同现象,例如多径或低C / NO信号,提出了伪范围和多普勒测量之间的合并技术。 GPS与其他定位系统的耦合已被证明是克服城市地区卫星可见性问题的解决方案的一部分。该想法是将外部测量与GPS测量结合在一起,以便即使在完整的GPS信号中断期间也能提高整体导航系统性能。死者传感器是这个问题的经典解决方案。然而,由于这些传感器的稳定性缺乏稳定性,GPS仍然需要纠正其相关的错误并在可用时提供绝对位置。古典陆地车辆导航解决方案通过使用车轮速度传感器(WSS)和GyrO来执行GPS增强。本文在整个陆地车辆导航解决方案方面看着这两种传感器之间的耦合方法的潜在好处。 WSS提供车轮角速率测量,并是防姑娘制动系统(ABS)中的基本组件。最后,本文介绍了一个专为城市环境中的土地车辆导航而设计的多辅助导航系统。不仅测试了陆地车辆导航的传感器,而且还完成了接收的GPS信号(伪范围和多普勒)的有趣使用,导致优化的紧密集成方案。进行了测试活动,以验证拟议的综合陆路导航系统的表现。为不同的场景(城市和开放区域)评估系统的贡献。

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