Traffic Participants in the Loop: A Mixed Reality-Based Interaction Testbed for the Verification and Validation of Autonomous Vehicles

Resource type
Conference
Author(s)
M. R. Zofka and S. Ulbrich and D. Karl and T. Fleck and R. Kohlhaas and A. Rönnau and R. Dillmann and J. M. Zöllner
Year
2018
Pages
3583-3590
Month
Nov
Book title
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Abstract
In order to verify and validate autonomous vehicles, testbeds integrating the whole system from perception to actuation are necessary. Above all, this applies to the assessment of the autonomous vehicle's performance in the presence of vulnerable road users' behavior: While experiments for the interaction between autonomous vehicles and pedestrians in critical traffic scenarios are hardly conductable in reality, virtual experiments often suffer from plausibility. In order to solve this issue, we present a mixed reality testbed for the verification and validation of autonomous vehicles faced with realistic road user behavior in critical, worst case traffic scenarios. We achieve this by registering an immersed pedestrian and the automated driving function within a common environment model, providing challenging traffic scenarios. The testbed is applicable within different integration levels of the automated driving function and enables a high level of behavioral realism. The testbed is evaluated qualitatively and discussed within a concrete use case.
DOI
10.1109/ITSC.2018.8569226
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Published by
Tobias Fleck