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Determination of the Environmental Conditions by the Evaluation of Test Drive Data

Authors:
Steffen Wittel
Daniel Ulmer
Oliver Bühler

Keywords: Automated Driving; Environmental Conditions; Test Drives

Abstract:
With taking full responsibility for the driving maneuvers automatically performed by the vehicles, the automobile manufacturers are responsible that the vehicles can handle the spectrum of possible traffic situations in the automated driving mode. The vehicles have to either cope with the traffic situations without the help of the human driver or to handover the control to the human driver in a safe manner. For the handover, a reasonable warning period is required, in which the automated driving has to be maintained. Therefore, the warning period depends on the distraction of the human driver and the current traffic situation. The time must be sufficient, so that the human driver can perceive the traffic situation and react appropriately. The testing of automated driving is considered as a major challenge for the automotive industry, because so far the human driver was considered as an immediate fallback level in traffic situations that cannot be handled by the vehicle software. Hence, robustness testing becomes more and more important to ensure a safe operation of the vehicles within different environmental conditions. This paper presents an approach that determines the environmental conditions encountered during test drives based on traffic theory. The approach provides metrics, which describe the traffic situations of test drives from an environmental point of view. Hence, the consideration of the metrics can ensure comparable traffic situations for the evaluation of the vehicle behavior between different versions of an automated driving system. Moreover, they can point to areas of the vehicle software that have not yet been tested and thus can be used to track the progress of the testing during the development.

Pages: 3 to 8

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-3700

ISBN: 978-1-61208-549-4

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017