Reference:
E. de Gelder, J. Hof, E. Cator, J.-P. Paardekooper, O. Op den Camp, J. Ploeg, and B. De Schutter, "Scenario parameter generation method and scenario representativeness metric for scenario-based assessment of automated vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18794-18807, Oct. 2022.Abstract:
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex operational domain of AVs. One candidate is scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained from driving data. Because of the high variety of the possible scenarios, using only observed scenarios for the assessment is not sufficient. Therefore, methods for generating additional scenarios are necessary.Downloads:
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