A Risk-index based Sampling Method to Generate Scenarios for the Evaluation of Automated Driving Vehicle Safety. - Yasuhiro Akagi; Ryosuke Kato; Sou Kitajima; Jacobo Antona-Makoshi; Nobuyuki Uchida (ITSC, 2019)

Incorporating safety relevance and realistic parameter combinations in test-case generation for automated driving safety assessment. - Silvia Thal; Holger Znamiec; Roman Henze; Hiroki Nakamura; Hisashi Imanaga; Jacobo Antona-Makoshi; Nobuyuki Uchida; Satoshi Taniguchi (ITSC, 2020)

Generic Detection and Search-based Test Case Generation of Urban Scenarios based on Real Driving Data. - Silvia Thal; Roman Henze; Ryo Hasegawa; Hiroki Nakamura; Hisashi Imanaga; Jacobo Antona-Makoshi; Nobuyuki Uchida (IV, 2022)

Defining Reasonably Foreseeable Parameter Ranges Using Real-World Traffic Data for Scenario-Based Safety Assessment of Automated Vehicles. - Hiroki Nakamura; Husam Muslim; Ryosuke Kato; Sandra Préfontaine-Watanabe; H. Nakamura; H. Kaneko; Hisashi Imanaga; Jacobo Antona-Makoshi; Sou Kitajima; Nobuyuki Uchida; Eiichi Kitahara; Koichiro Ozawa; et al. (IEEE Access, 2022)

Logical Scenarios Parameterization for Automated Vehicle Safety Assessment: Comparison of Deceleration and Cut-In Scenarios From Japanese and German Highways. - Adrian Zlocki; Alexander König; Julian Bock; Hendrik Weber; Husam Muslim; Hiroki Nakamura; Sandra Préfontaine-Watanabe; Jacobo Antona-Makoshi; Satoshi Taniguchi (IEEE Access, 2022)

Integrated Scenario-Based Analysis: A Data-Driven Approach to Support Automated Driving Systems Development and Safety Evaluation. - Gibran Ali; Kaye Sullivan; Eileen Herbers; Vicki Williams; Dustin Holley; Jacobo Antona-Makoshi; Kevin Kefauver (ITSC, 2024)