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Paving the roadway for safety of automated vehicles: An empirical study on testing challenges
Chalmers University of Technology, Sweden.
University of Gothenburg, Sweden.
University of Gothenburg, Sweden.
RISE - Research Institutes of Sweden, Safety and Transport, Electronics.
2017 (English)In: IEEE Intelligent Vehicles Symposium, Proceedings, 2017, p. 1873-1880Conference paper, Published paper (Refereed)
Abstract [en]

The technology in the area of automated vehicles is gaining speed and promises many advantages. However, with the recent introduction of conditionally automated driving, we have also seen accidents. Test protocols for both, conditionally automated (e.g., on highways) and automated vehicles do not exist yet and leave researchers and practitioners with different challenges. For instance, current test procedures do not suffice for fully automated vehicles, which are supposed to be completely in charge for the driving task and have no driver as a back up. This paper presents current challenges of testing the functionality and safety of automated vehicles derived from conducting focus groups and interviews with 26 participants from five countries having a background related to testing automotive safety-related topics. We provide an overview of the state-of-practice of testing active safety features as well as challenges that needs to be addressed in the future to ensure safety for automated vehicles. The major challenges identified through the interviews and focus groups, enriched by literature on this topic are related to 1) virtual testing and simulation, 2) safety, reliability, and quality, 3) sensors and sensor models, 4)required scenario complexity and amount of test cases, and 5)handover of responsibility between the driver and the vehicle. © 2017 IEEE.

Place, publisher, year, edition, pages
2017. p. 1873-1880
Keywords [en]
Automation, Intelligent vehicle highway systems, Vehicles, Virtual reality, Automated driving, Automated vehicles, Automotive safety, Empirical studies, Fully automated, State of practice, Test protocols, Virtual testing, Safety testing
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33133DOI: 10.1109/IVS.2017.7995978Scopus ID: 2-s2.0-85028047601ISBN: 9781509048045 OAI: oai:DiVA.org:ri-33133DiVA, id: diva2:1179105
Conference
28th IEEE Intelligent Vehicles Symposium, IV 2017, 11 June 2017 through 14 June 2017
Note

 Funding details: Department of Electronics and Information Technology, Ministry of Communications and Information Technology; Funding details: Department of Electricial and Computer Engineering, Boston University; Funding details: Goteborgs Universitet; Funding details: Chalmers Tekniska Hogskola

Available from: 2018-01-31 Created: 2018-01-31 Last updated: 2018-01-31Bibliographically approved

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CiteExportLink to record
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  • apa
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