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2019 | OriginalPaper | Chapter

3. Gaining Knowledge on Automated Driving’s Safety—The Risk-Free VAAFO Tool

Authors : Philipp Junietz, Walther Wachenfeld, Valerij Schönemann, Kai Domhardt, Wadim Tribelhorn, Hermann Winner

Published in: Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Publisher: Springer International Publishing

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Abstract

While the technical development of automated driving functions has made significant progress in the past decade, there is still no validation method. An assessment of automated driving before the market launch is difficult because, except for test drives on real roads, there is no information about the behavior of automated vehicles in real traffic. Due to the high level of safety in today’s traffic, it is not economically feasible to prove the superiority of automated driving by test drives only, because it would require a testing distance of several million to billion kilometers. To shift testing to simulation or test tracks, information about critical test scenarios is necessary. The Virtual Assessment of Automation in Field Operation (VAAFO) helps to gain more knowledge about automated driving functions while using series vehicles in today’s traffic. The new function is tested virtually, and at the same time, information is gained to deduce test scenarios for testing on test tracks and simulation.

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Footnotes
1
It is assumed that a relevant accident of other traffic users due to the ego behavior will be perceived. A combination with the eCall could help to achieve this.
 
2
This model is mainly the result of the Master thesis of [32].
 
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Metadata
Title
Gaining Knowledge on Automated Driving’s Safety—The Risk-Free VAAFO Tool
Authors
Philipp Junietz
Walther Wachenfeld
Valerij Schönemann
Kai Domhardt
Wadim Tribelhorn
Hermann Winner
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-91569-2_3