457 citations · 696 across the 72 of their papers we have counts for
9 papers · 1 filter
On Optimization over Tail Distributions
Clementine Mottet, Henry Lam
We investigate the use of optimization to compute bounds for extremal performance measures. This approach takes a non-parametric viewpoint that aims to alleviate the issue of model…
A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods
Zhiyuan Huang, Yaohui Guo, Henry Lam +1
Evaluation and validation of complicated control systems are crucial to guarantee usability and safety. Usually, failure happens in some very rarely encountered situations, but onc…
An Uncertainty Quantification Method for Inexact Simulation Models
Matthew Plumlee, Henry Lam
The vast majority of stochastic simulation models are imperfect in that they fail to exactly emulate real system dynamics. The inexactness of the simulation model, or model discrep…
Towards Affordable On-track Testing for Autonomous Vehicle - A Kriging-based Statistical Approach
Zhiyuan Huang, Henry Lam, Ding Zhao
This paper discusses the use of Kriging model in Automated Vehicle evaluation. We explore how a Kriging model can help reduce the number of experiments or simulations in the Accele…
An Accelerated Testing Approach for Automated Vehicles with Background Traffic Described by Joint Distributions
Zhiyuan Huang, Henry Lam, Ding Zhao
This paper proposes a new framework based on joint statistical models for evaluating risks of automated vehicles in a naturalistic driving environment. The previous studies on the…
Sequential Experimentation to Efficiently Test Automated Vehicles
Zhiyuan Huang, Henry Lam, Ding Zhao
Automated vehicles have been under heavy developments in major auto and tech companies and are expected to release into market in the foreseeable future. However, the road safety o…