@article{ref1,
title="Motorway measurement campaign to support R&D activities in the field of automated driving technologies",
journal="Sensors (Basel)",
year="2021",
author="Tihanyi, Viktor and Tettamanti, Tamás and Csonthó, Mihály and Eichberger, Arno and Ficzere, Dániel and Gangel, Kálmán and Hörmann, Leander B. and Klaffenböck, Maria A. and Knauder, Christoph and Luley, Patrick and Magosi, Zoltán Ferenc and Magyar, Gábor and Németh, Huba and Reckenzaun, Jakob and Remeli, Viktor and Rövid, András and Ruether, Matthias and Solmaz, Selim and Somogyi, Zoltán and Soós, Gábor and Szántay, Dávid and Tomaschek, Tamás Attila and Varga, Pál and Vincze, Zsolt and Wellershaus, Christoph and Szalay, Zsolt",
volume="21",
number="6",
pages="-",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s21062169",
url="http://dx.doi.org/10.3390/s21062169"
}