Paving the Roadway for Safety of Automated Vehicles: An Empirical Study on Testing Challenges
May 09, 2017 Β· Declared Dead Β· π 2017 IEEE Intelligent Vehicles Symposium (IV)
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Authors
Alessia Knauss, Jan SchrΓΆder, Christian Berger, Henrik Eriksson
arXiv ID
1708.06988
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.RO
Citations
30
Venue
2017 IEEE Intelligent Vehicles Symposium (IV)
Last Checked
4 months ago
Abstract
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.
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