Motorway Measurement Campaign to Support RD Activities in the Field of Automated Driving Technologies

Autor: Huba Németh, Pal Varga, Dávid Szántay, Daniel Ficzere, Christoph Knauder, Viktor Tihanyi, Zoltan Ferenc Magosi, Selim Solmaz, Leander B. Hormann, Zsolt Szalay, Gabor Soos, Maria Anneliese Klaffenböck, Viktor Remeli, Arno Eichberger, Kálmán Gangel, András Rövid, Gábor Magyar, Tamás Attila Tomaschek, Mihály Csonthó, Jakob Reckenzaun, Zsolt Vincze, Tamás Tettamanti, Christoph Wellershaus, Zoltán Somogyi, Matthias Ruether, Patrick Patrick Luley
Rok vydání: 2021
Předmět:
0209 industrial biotechnology
Field (physics)
Computer science
Real-time computing
Automotive industry
02 engineering and technology
Dynamic web page
UHD map
lcsh:Chemical technology
Biochemistry
Field (computer science)
Article
Analytical Chemistry
020901 industrial engineering & automation
Vehicle detection
0202 electrical engineering
electronic engineering
information engineering
lcsh:TP1-1185
Aerospace engineering
Electrical and Electronic Engineering
vehicle sensors
Instrumentation
infrastructure sensors
automotive_engineering
Ground truth
business.industry
measurement campaign
Differential (mechanical device)
Atomic and Molecular Physics
and Optics
Data set
GNSS applications
automated driving
vehicle detection
020201 artificial intelligence & image processing
Scenario testing
autonomous vehicles
business
5G
Zdroj: Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2169, p 2169 (2021)
ISSN: 1424-8220
Popis: 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.
Databáze: OpenAIRE
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