Argumentation on ADAS Simulation Validity using Aleatory and Epistemic Uncertainty Estimation

@inproceedings{Reisgys2021,
title = {Argumentation on ADAS Simulation Validity using Aleatory and Epistemic Uncertainty Estimation},
author = {Felix Reisgys and Mohamed Elgharbawy and Andreas Schwarzhaupt and Eric Sax},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year  = {2021},
date = {2021-09-14},
booktitle = {Proceedings of the Driving Simulation Conference 2021 Europe VR},
pages = {25-32},
address = {Munich, Germany},
organization = {Driving Simulation Association},
abstract = {X-in-the-Loop (XiL) tests are a key enabler to scale up testing width and depth as a supplement of Proving Ground (PG) tests for Advanced Driver Assistance Systems (ADAS). Since simulation models are major building blocks in XiL, the question of simulation validity is gaining importance. In this contribution, a validity argumentation for a concrete scenario executed in a XiL environment is proposed. Both tests in PG and XiL are prone to uncertainties. So-called aleatory uncertainties represent stochastic processes as they occur in PG and may also exist in XiL. In contrast, epistemic uncertainties reflect a lack of knowledge and are inherent in each XiL simulation model. We propose the following validity argumentation: A XiL environment is considered valid if its error falls within a tolerance band defined by the aleatory uncertainty of PG tests. Multiple validation metrics are computed for so-called System Response Quantities (SRQs). The method is applied to three concrete scenarios used to test an Advanced Emergency Brake System (AEBS), with XiL represented by a Software-in-the-Loop (SiL) environment.},
keywords = {Advanced Driver Assistance Systems, Proving Ground tests, Tolerance Interval, Uncertainty Estimation, X-in-the-Loop tests},
}

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TY  - CONF
TI  - Argumentation on ADAS Simulation Validity using Aleatory and Epistemic Uncertainty Estimation
AU  - Reisgys, Felix
AU  - Elgharbawy, Mohamed
AU  - Schwarzhaupt, Andreas
AU  - Sax, Eric
C1  - Munich, Germany
C3  - Proceedings of the Driving Simulation Conference 2021 Europe VR
DA  - 2021/09/14
PY  - 2021
SP  - 25
EP  - 32
LA  - en-US
PB  - Driving Simulation Association
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2021/argumentation-on-adas-simulation-validity-using-aleatory-and-epistemic-uncertainty-estimation
ER  - 

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