FFT based optimal MCA for AD/ADAS driving tests

@inproceedings{Fang2022,
title = {FFT based optimal MCA for AD/ADAS driving tests},
author = {Zhou Fang and Didier Wautier and Andras Kemeny},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year  = {2022},
date = {2022-09-15},
booktitle = {Proceedings of the Driving Simulation Conference 2022 Europe VR},
pages = {119-126},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {The optimal filter based motion cueing algorithm has been applied in real-time system thanks to its low computational complexity. This algorithm first developed by Sivan et al. requires the assumption of a white noise model to describe the dynamic behaviors of the car. Thus, the predictive capability can’t be applied for this algorithm. The model predictive control based motion cueing algorithm (MPC-MCA) uses a similar cost function but a different approach to find the minimal cost value. It can take into account the future predictive signal and system constraints in its optimization of the motion cueing strategy. MPC-MCA can provide high fidelity motion perceptions to the driver for an AD car driving simulation or the case where the car’s behaviors can be well predicted. But finding the best solution to exploit the full potential of a driving simulator is still a tedious task. Generally, a multiple shooting iterative algorithm is used. In this paper, we propose a new method to find the optimal or suboptimal solution using the FFT (Fast Fourier Transform) technique. This method has been shownefficient in solving the optimal filter problem without the assumption of a white noise model and the infinite prediction horizon problem with full signal’s length. Its application on the online MPC-MCA will be presented later.},
keywords = {FFT based MPC-MCA, multi-shooting MCA, Off-line motion cueing optimization, Optimal filter},
}

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TY  - CONF
TI  - FFT based optimal MCA for AD/ADAS driving tests
AU  - Fang, Zhou
AU  - Wautier, Didier
AU  - Kemeny, Andras
C1  - Strasbourg, France
C3  - Proceedings of the Driving Simulation Conference 2022 Europe VR
DA  - 2022/09/15
PY  - 2022
SP  - 119
EP  - 126
LA  - en-US
PB  - Driving Simulation Association
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2022/fft-based-optimal-mca-for-ad-adas-driving-tests
ER  - 

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