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Among various active safety systems, Autonomous Emergency Braking (AEB) has garnered widespread attention due to its outstanding performance in reducing traffic accidents. AEB effectively avoids or mitigates vehicle collisions through automatic braking, making it a crucial technology in autonomous driving.

For comparison, a Monte Carlo simulation with normal distribution is used to illustrate the confidence and validity of the proposed method.

The probabilistic dynamic responses of the vehicle handling are also obtained by using the Monte Carlo simulation method. The comparison between the numerical interval method and the Monte Carlo simulation method indicates the proposed numerical interval method is effective. ...The comparison between the numerical interval method and the Monte Carlo simulation method indicates the proposed numerical interval method is effective.

The validation is made by Monte Carlo Simulation Technique in terms of the robustness of the feasible solutions.

The validation is made by the Monte Carlo Simulation Technique (MCST) in terms of the effectiveness of the RDPS in solving robust design problems.

System responses in time domain are validated against Monte Carlo simulations and against the scanning approach. Results indicate that the Chebyshev interval method is more efficient than Monte Carlo simulations. ...Results indicate that the Chebyshev interval method is more efficient than Monte Carlo simulations. The results of scanning method are similar to the ones obtained with the Chebyshev interval method.

A multi-body vehicle model with both random parameters and interval parameters is used as a numerical model and vehicle handling is investigated in details. The Monte Carlo method combined with the scanning method is used to demonstrate the effectiveness of the proposed method for vehicle handling.