Title
Identification of critical cases of ADAS safety by FOT based parameterization of a catalogue
Date Issued
07 February 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Johannes Kepler University
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Safety Testing of Advanced Driver Assistance Systems(ADAS) and Automated Driving Functions(ADF) has paramount importance for the diffusion of these technologies, especially because the expectations of the public are very high. On the road testing alone would require an unaffordable testing time. Against this background, testing must include simulations, but this is no easy task, as the corresponding scenarios can be unrealistic or irrelevant or both, especially if they are produced by simulations alone. Using measurements alone, is also not better, as it would require a very large testing amount. This paper proposes a method to solve this problem relying on a catalogue of the test cases and using Field-Operational-Test (FOT) measurements to obtain a realistic parameterization. This method is presented at the example of the lane change scenario, one of the most relevant safety critical maneuvers. It shows that the last majority of measured cases can be covered with a rather simple parametrization and sensible estimate of the collision risk can be derived.
Start page
453
End page
458
Volume
2018-January
Language
English
OCDE Knowledge area
Ingeniería mecánica
Scopus EID
2-s2.0-85047480789
Resource of which it is part
2017 Asian Control Conference, ASCC 2017
ISBN of the container
9781509015733
Conference
2017 11th Asian Control Conference, ASCC 2017
Sources of information: Directorio de Producción Científica Scopus