Identification of Vehicle Dynamics Parameters Using Simulation-based Inference [article]

Ali Boyali, Simon Thompson, David Robert Wong
2021 arXiv   pre-print
Identifying tire and vehicle parameters is an essential step in designing control and planning algorithms for autonomous vehicles. This paper proposes a new method: Simulation-Based Inference (SBI), a modern interpretation of Approximate Bayesian Computation methods (ABC) for parameter identification. The simulation-based inference is an emerging method in the machine learning literature and has proven to yield accurate results for many parameter sets in complex problems. We demonstrate in this
more » ... paper that it can handle the identification of highly nonlinear vehicle dynamics parameters and gives accurate estimates of the parameters for the governing equations.
arXiv:2108.12114v1 fatcat:5lh23uh7qzaozek5h7uf54hjly