Evaluating GNSS Navigation Availability in 3-D Mapped Urban Environments

Kana Nagai, Titilayo Fasoro, M. Spenko, R. Henderson, B. Pervan
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引用次数: 6

Abstract

This research project aims to achieve a future urban environment where people and self-driving cars coexist together while guaranteeing safety. To modify the environment, our first approach is to understand the limitations of GPS/GNSS positioning in an urban area where signal blockages and reflections make positioning difficult. For the evaluation process, we assume reasonable integrity requirements and calculate navigation availability along a sample Chicago urban corridor (State Street). We reject all non-line-of-sight (NLOS) that are blocked and reflected using a 3-D map. The availability of GPS-only positioning is determined to be less than 10% at most locations. Using four full GNSS constellations, availability improves significantly but is still lower than 80 % at certain points. The results establish the need for integration with other navigation sensors, such as inertial navigation systems (INS) and Lidar, to ensure integrity. The analysis methods introduced will form the basis to determine performance requirements for these additional sensors.
在三维地图城市环境中评估GNSS导航可用性
该研究项目旨在实现人与自动驾驶汽车共存的未来城市环境,同时保证安全。为了改善环境,我们的第一个方法是了解GPS/GNSS定位在城市地区的局限性,在城市地区,信号阻塞和反射使得定位困难。对于评估过程,我们假设合理的完整性需求,并计算沿着芝加哥城市走廊(State Street)的导航可用性。我们拒绝所有非视线(NLOS),被阻挡和反射使用三维地图。在大多数地点,gps定位的可用性被确定为低于10%。使用四个完整的GNSS星座,可用性显著提高,但在某些点仍低于80%。结果表明,需要与其他导航传感器集成,如惯性导航系统(INS)和激光雷达,以确保完整性。所介绍的分析方法将构成确定这些附加传感器性能要求的基础。
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