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THE USE OF VEHICLE DATA IN ADAS DEVELOPMENT, VERIFICATION AND FOLLOW-UP ON THE SYSTEM

Part of: Engineering Design Practice

Published online by Cambridge University Press:  11 June 2020

J. Orlovska ,
C. Wickman  and
R. Soderberg
J. Orlovska*
Affiliation:
Chalmers University of Technology, Sweden
C. Wickman
Affiliation:
Chalmers University of Technology, Sweden Volvo Cars, Sweden
R. Soderberg
Affiliation:
Chalmers University of Technology, Sweden
*
*orlovska@chalmers.se

Abstract

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Advanced Driver Assistance Systems (ADAS) require a high level of interaction between the driver and the system, depending on driving context at a particular moment. Context-aware ADAS evaluation based on vehicle data is the most prominent way to assess the complexity of ADAS interactions. In this study, we conducted interviews with the ADAS development team at Volvo Cars to understand the role of vehicle data in the ADAS development and evaluation. The interviews’ analysis reveals strategies for improvement of current practices for vehicle data-driven ADAS evaluation.

Keywords

data-driven designcomplex systemscase studydesign evaluationproduct development
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 2551 - 2560
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), 2020. Published by Cambridge University Press

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