Literature DB >> 33808936

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

Viktor Tihanyi1, Tamás Tettamanti2, Mihály Csonthó1, Arno Eichberger3, Dániel Ficzere4, Kálmán Gangel5, Leander B Hörmann6, Maria A Klaffenböck6, Christoph Knauder7, Patrick Luley8, Zoltán Ferenc Magosi3, Gábor Magyar4, Huba Németh9, Jakob Reckenzaun10, Viktor Remeli1, András Rövid1, Matthias Ruether8, Selim Solmaz10, Zoltán Somogyi11, Gábor Soós4, Dávid Szántay12, Tamás Attila Tomaschek13, Pál Varga4, Zsolt Vincze1, Christoph Wellershaus3, Zsolt Szalay1,5.   

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.

Entities:  

Keywords:  5G; UHD map; automated driving; autonomous vehicles; infrastructure sensors; measurement campaign; vehicle detection; vehicle sensors

Year:  2021        PMID: 33808936     DOI: 10.3390/s21062169

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Development and Experimental Validation of an Intelligent Camera Model for Automated Driving.

Authors:  Simon Genser; Stefan Muckenhuber; Selim Solmaz; Jakob Reckenzaun
Journal:  Sensors (Basel)       Date:  2021-11-15       Impact factor: 3.576

  1 in total

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