Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models

Understand

The process to certify highly Automated Vehicles has not yet been defined by any country in the world.

• Currently, companies test Automated Vehicles on public roads, which is time-consuming and inefficient.
• We proposed the Accelerated Evaluation concept, which uses a modified statistics of the surrounding vehicles and the Importance Sampling theory to reduce the evaluation time by several orders of magnitude, while ensuring the evaluation results are statistically accurate.
• In this paper, we further improve the accelerated evaluation concept by using Piecewise Mixture Distribution models, instead of Single Parametric Distribution models.