Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy.
Finnish Geospatial Research Institute (FGI), Geodeetinrinne 2, 02430 Masala, Finland.
Sensors (Basel). 2018 Jul 7;18(7):2189. doi: 10.3390/s18072189.
Global navigation satellite systems play a significant role in the development of intelligent transport systems, where the estimation of the vehicle’s position is a key element. However, in strongly constrained environments such as city centers, the definition of quality metrics and the assessment of positioning performances are challenges to be addressed. Due to the variability of different urban scenarios, the modeling of the dynamics as well as the architecture of the positioning platform, which might embed other sensors and aiding means to the GNSS unit, make it hard to define unambiguous positioning metrics. Performance assessment through analytical models and simulators can be ineffective in terms of cost, complexity, and general validity and scalability of the results. This paper shows how a record and replay approach can be an efficient solution to grant fidelity to a realistic scenario. This work discusses advantages and disadvantages with emphasis on the case study of harsh scenarios. Such an approach requires proper data collections that allow the replay phase to test the GNSS-based positioning terminals. This paper presents the results obtained on a set of field tests related to different scenarios, selected as representative for the key performance indicators assessment.
全球导航卫星系统在智能交通系统的发展中发挥着重要作用，其中车辆位置的估计是一个关键要素。然而，在城市中心等约束较强的环境中，定义质量指标和评估定位性能是需要解决的挑战。由于不同城市场景的多样性，以及定位平台的动力学建模和架构，其中可能嵌入了其他传感器和辅助手段到 GNSS 单元，因此很难定义明确的定位指标。通过分析模型和模拟器进行性能评估在成本、复杂性以及结果的通用性、可扩展性方面可能效果不佳。本文展示了记录和重放方法如何成为一种有效的解决方案，以保证真实场景的逼真度。本文讨论了这种方法的优缺点，并重点讨论了恶劣场景的案例研究。这种方法需要进行适当的数据采集，以便在重放阶段测试基于 GNSS 的定位终端。本文介绍了在与不同场景相关的一组现场测试中获得的结果，这些场景被选为关键性能指标评估的代表性场景。
