Paving the roadway for safety of automated vehicles: An empirical study on testing challenges
Paper in proceeding, 2017

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.


Alessia Knauss

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

J. Schroder

University of Gothenburg

Christian Berger

University of Gothenburg

H. Eriksson

RISE Research Institutes of Sweden

28th IEEE Intelligent Vehicles Symposium, IV 2017, Redondo Beach, United States, 11-14 June 2017

978-1-5090-4804-5 (ISBN)

Subject Categories

Infrastructure Engineering





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