Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles

Erwin de Gelder,Eric Cator,Jan-Pieter Paardekooper,Olaf Op den Camp,Bart De Schutter

2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)（2021）

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摘要

The safety assessment of Automated Vehicles (AVs) is an important aspect of the development cycle of AVs. A scenario-based assessment approach is accepted by many players in the field as part of the complete safety assessment. A scenario is a representation of a situation on the road to which the AV needs to respond appropriately. One way to generate the required scenario-based test descriptions i...

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关键词

Monte Carlo methods,Shape,Intelligent vehicles,Conferences,Roads,Estimation,Probability density function

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