To study the effects of uncertainty in autonomous motion planning and control, an 8-DOF model of a tractor-semitrailer is implemented and analyzed. The implications of uncertainties in the model are then quantified and presented using sensitivity analysis and closed-loop simulations. The analysis reveals that the significance of various model parameters varies depending on the specific scenario under investigation. By using sampling-based closed-loop predictions, uncertainty bounds on state variable trajectories are determined. Our findings suggest the potential for the inclusion of our method within a robust predictive controller or as a driver-assistance system for rollover or lane departure warnings.
@article{arxiv.2311.14573,
title = {Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles},
author = {Theodor Westny and Björn Olofsson and Erik Frisk},
journal= {arXiv preprint arXiv:2311.14573},
year = {2023}
}