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Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies

Authors :
Viktor Tihanyi
Tamás Tettamanti
Mihály Csonthó
Arno Eichberger
Dániel Ficzere
Kálmán Gangel
Leander B. Hörmann
Maria A. Klaffenböck
Christoph Knauder
Patrick Luley
Zoltán Ferenc Magosi
Gábor Magyar
Huba Németh
Jakob Reckenzaun
Viktor Remeli
András Rövid
Matthias Ruether
Selim Solmaz
Zoltán Somogyi
Gábor Soós
Dávid Szántay
Tamás Attila Tomaschek
Pál Varga
Zsolt Vincze
Christoph Wellershaus
Zsolt Szalay
Source :
Sensors, Vol 21, Iss 6, p 2169 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

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.

Details

Language :
English
ISSN :
14248220
Volume :
21
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.79e9361f386f415dace39217bb8140bb
Document Type :
article
Full Text :
https://doi.org/10.3390/s21062169