Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.
Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.
Sensors (Basel). 2021 Mar 19;21(6):2169. doi: 10.3390/s21062169.
A spectacular measurement campaign was carried out on a real-world motorway stretch of Hungary with the participation of international industrial and academic partners. The measurement resulted in vehicle based and infrastructure based sensor data that will be extremely useful for future automotive R&D activities due to the available ground truth for static and dynamic content. The aim of the measurement campaign was twofold. On the one hand, road geometry was mapped with high precision in order to build Ultra High Definition (UHD) map of the test road. On the other hand, the vehicles-equipped with differential Global Navigation Satellite Systems (GNSS) for ground truth localization-carried out special test scenarios while collecting detailed data using different sensors. All of the test runs were recorded by both vehicles and infrastructure. The paper also showcases application examples to demonstrate the viability of the collected data having access to the ground truth labeling. This data set may support a large variety of solutions, for the test and validation of different kinds of approaches and techniques. As a complementary task, the available 5G network was monitored and tested under different radio conditions to investigate the latency results for different measurement scenarios. A part of the measured data has been shared openly, such that interested automotive and academic parties may use it for their own purposes.
一场规模宏大的测量活动在匈牙利的一段实际高速公路上进行，国际工业和学术合作伙伴参与其中。该测量活动产生了基于车辆和基于基础设施的传感器数据，由于具有静态和动态内容的真实数据，这些数据将对未来的汽车研发活动非常有用。此次测量活动有两个目的。一方面，为了构建测试道路的超高分辨率（UHD）地图，对道路几何形状进行了高精度测绘。另一方面，配备差分全球导航卫星系统（GNSS）进行地面实况定位的车辆进行了特殊测试场景，同时使用不同的传感器收集详细数据。所有的测试运行都由车辆和基础设施进行记录。本文还展示了应用示例，以展示在访问地面真实标签时收集数据的可行性。该数据集可支持各种解决方案，用于测试和验证各种方法和技术。作为一项补充任务，还监测和测试了可用的 5G 网络在不同无线电条件下的情况，以研究不同测量场景的延迟结果。已公开共享部分测量数据，以便感兴趣的汽车和学术团体可以将其用于自己的目的。
