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PARAMETRIC MODELLING OF THE EXTERIOR DESIGN OF AUTONOMOUS SHUTTLES

Published online by Cambridge University Press:  19 June 2023

Philipp Hafemann ,
Manuel Daumoser  and
Markus Lienkamp
Philipp Hafemann*
Affiliation:
Technical University of Munich
Manuel Daumoser
Affiliation:
Technical University of Munich
Markus Lienkamp
Affiliation:
Technical University of Munich
*
Hafemann, Philipp, Technical University of Munich, Germany, hafemann@ftm.mw.tum.de

Abstract

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Autonomous vehicles for the last mile are a promising use case for advancing autonomous driving in real-world traffic. For this purpose, traditional car manufacturers and newcomer companies develop a new vehicle concept: the autonomous shuttle. During the development, components from the automation domain, such as the sensors, must be placed and integrated into the vehicle body. The trade-offs between the functional performance of the perception and the exterior design must be evaluated early in the design process. For this purpose, a model of the vehicle exterior is needed. In this contribution, we present a method for parametric modeling of the vehicle exterior of autonomous shuttles. We define 17 input parameters and use computer-aided design to create a virtual model of the body and the wheelhouses. In the results, we validate our method by ensuring that existing shuttles can be modeled with our approach and also analyze the limitations. The model supports decision-making in the early design phase by enabling quick iterations between sensor placement and exterior design.

Keywords

Computer Aided Design (CAD)Early design phasesVirtual Engineering (VE)Exterior DesignSensor Integration
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2875 - 2884
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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