Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions | IEEE Conference Publication | IEEE Xplore
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Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions

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Jan Erik Stellet; Marc René Zofka; Jan Schumacher; Thomas Schamm; Frank Niewels; J. Marius Zöllner
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Abstract:

In this work, we propose a novel taxonomy to partition the problem of testing advanced driver assistance systems (ADAS) into three basic dimensions. These dimensions are ...Show More

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Abstract:

In this work, we propose a novel taxonomy to partition the problem of testing advanced driver assistance systems (ADAS) into three basic dimensions. These dimensions are detailed and confirmed with recent research. Our framework permits the consideration of open research questions which have to be answered to pave the way for future highly automated driving. Despite the importance of this problem, a similarly comprehensive and structured survey has to the best of the authors' knowledge not been developed before.
Published in: 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Date of Conference: 15-18 September 2015
Date Added to IEEE Xplore: 02 November 2015
ISBN Information:

ISSN Information:

DOI: 10.1109/ITSC.2015.236
Conference Location: Gran Canaria, Spain
References is not available for this document.
Contents

I. Introduction

Advanced driver assistance systems (ADAS) feature an increasing degree of automation towards the goal of fully automated driving for safe and comfortable travel. This trend promises a reduction in the number and severity of traffic accidents, of traffic congestions as well as fuel consumption and thus leads to resource-saving mobility.

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