A Virtual Development and Evaluation Framework for ADAS—Case Study of a P-ACC in a Connected Environment

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Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 476))

Abstract

Advanced driver assistance systems (ADAS) or even (partially) automated driving functions (ADF) can lead to substantial improvements in fuel economy, safety, and comfort of passenger cars. Especially, in view of new technologies, such as connected vehicles, additional improvements are feasible. However, testing and validation of ADAS in a connected and interacting environment are a critical and not yet fully solved task. In real-world driving situations in a dense urban traffic environment, constant interactions between the system under test (SUT) and other traffic participants occur. The number of possible scenarios and test cases is huge and renders a case by case approach, even for function prototy** and performance evaluation, almost impossible. In this work, a virtual development framework is proposed which allows performance testing under realistic traffic conditions by taking the interaction between SUT and other participants into account. A combination of a microscopic traffic simulation and a high-detailed vehicle simulation is utilized. To handle the interaction between both tools, a co-simulation framework with an interface layer for synchronization is developed which serves also as input for virtual sensors and prototype functions. The framework is demonstrated by a case study for a predictive adaptive cruise control (P-ACC) in a connected environment. This case study shows both the potential benefits of utilizing available information via new communication channels for ADAS and the applicability of the proposed framework.

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Notes

  1. 1.

    In the presented example, only other passenger cars are considered as traffic participants. Depending on the used microscopic traffic simulation public transport or pedestrians can be considered too.

  2. 2.

    For the latter case study, the parameters of the car-following model were adapted to match the behavior recorded during real test drives.

  3. 3.

    For location-based control strategies, a map** to global GPS coordinates can be performed easily. However, even in this case on a tool level, it can be beneficial to use an identical coordinate system.

  4. 4.

    In this case, a simplified position-oriented representation is used. In more complex intersections, additionally signal groups and routes would need to be defined and synchronized.

  5. 5.

    The communication layer and formats defined of ETSI for CAM, SPAT, and MAP, see [8], are not implemented.

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Acknowledgements

This work has been funded by FFG under the project Traffic Assistant Simulation and Traffic Environment—TASTE, project number 849897. The authors further want to thank and acknowledge the whole TASTE project team for the assistance, fruitful discussions, and suggestions during the course of this work.

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Correspondence to Harald Waschl .

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Waschl, H., Schmied, R., Reischl, D., Stolz, M. (2019). A Virtual Development and Evaluation Framework for ADAS—Case Study of a P-ACC in a Connected Environment. In: Waschl, H., Kolmanovsky, I., Willems, F. (eds) Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions . Lecture Notes in Control and Information Sciences, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-91569-2_6

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