Defining Reasonably Foreseeable Parameter Ranges Using Real-World Traffic Data for Scenario-Based Safety Assessment of Automated Vehicles

Verification and validation of automated driving systems’ safety are some of the biggest challenges for the introduction of automated vehicles into the market. Scenario-based safety assessment is an efficient and repeatable method to test the systems’ safety before their deployment in...

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Váldodahkkit:	Hiroki Nakamura, H. Muslim, R. Kato, Sandra Prefontaine-Watanabe, H. Nakamura, H. Kaneko, H. Imanaga, J. Antona-Makoshi, S. Kitajima, N. Uchida, E. Kitahara, K. Ozawa, S. Taniguchi
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2022-01-01
Ráidu:	IEEE Access
Fáttát:	Automated vehicles traffic data analysis event detection logical scenarios risk acceptance safety
Liŋkkat:	https://ieeexplore.ieee.org/document/9743474/
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