Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies
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
Affiliations
Viktor Tihanyi
Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Tamás Tettamanti
Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Mihály Csonthó
Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Arno Eichberger
Institute of Automotive Engineering, TU Graz, Inffeldgasse 11, 8010 Graz, Austria
Dániel Ficzere
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Kálmán Gangel
Automotive Proving Ground Zala Ltd., Fészek u. 4, 8900 Zalaegerszeg, Hungary
Leander B. Hörmann
Linz Center of Mechatronics GmbH, Altenberger Straße 69, 4040 Linz, Austria
Maria A. Klaffenböck
Linz Center of Mechatronics GmbH, Altenberger Straße 69, 4040 Linz, Austria
Christoph Knauder
ALP.Lab GmbH, Inffeldgasse 25F/5, 8010 Graz, Austria
Patrick Luley
JOANNEUM RESEARCH Forschungsgesellschaft mbH, Steyrergasse 17, 8010 Graz, Austria
Zoltán Ferenc Magosi
Institute of Automotive Engineering, TU Graz, Inffeldgasse 11, 8010 Graz, Austria
Gábor Magyar
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Huba Németh
Knorr-Bremse R&D Center Budapest, Major u. 69, 1119 Budapest, Hungary
Jakob Reckenzaun
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Viktor Remeli
Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
András Rövid
Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Matthias Ruether
JOANNEUM RESEARCH Forschungsgesellschaft mbH, Steyrergasse 17, 8010 Graz, Austria
Selim Solmaz
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Zoltán Somogyi
Department of Electrified Powertrain, Transmission & Software, AVL Hungary, Irinyi József u. 4-20, Science Park, 1117 Budapest, Hungary
Gábor Soós
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Dávid Szántay
Department of GIS, Budapest Public Road, Bánk bán u. 8-12, 1115 Budapest, Hungary
Tamás Attila Tomaschek
ITS Department, Hungarian Public Roads, Fényes Elek u. 7-13, 1024 Budapest, Hungary
Pál Varga
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Zsolt Vincze
Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Christoph Wellershaus
Institute of Automotive Engineering, TU Graz, Inffeldgasse 11, 8010 Graz, Austria
Zsolt Szalay
Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
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.