@article{ref1,
title="Ethical decision-making platform in autonomous vehicles with lexicographic optimization based model predictive controller",
journal="IEEE transactions on vehicular technology",
year="2020",
author="Wang, H. and Huang, Y. and Khajepour, A. and Cao, D. and Lv, C.",
volume="69",
number="8",
pages="8164-8175",
abstract="Ethical decision-making during inevitable crashes, especially when humans involved, has become a big and sensitive roadblock for future mass adoption of autonomous vehicles. Towards addressing this challenge, this paper proposes a predictive control framework for ethical decision-making in autonomous driving using rational ethics. For flexibly implementing of ethical rules, the Lexicographic Optimization-based model predictive controller (LO-MPC) has been designed, in which obstacles and constraints are prioritized. Simulation environment is set up in PreScan, with different edge cases. The results show that the proposed LO-MPC approach has the capability to deal with the ethical decision-making during inevitable crashes by avoiding the obstacles with the assumed priority orders compared with traditional decision-making algorithm.<p /> <p>Language: en</p>",
language="en",
issn="0018-9545",
doi="10.1109/TVT.2020.2996954",
url="http://dx.doi.org/10.1109/TVT.2020.2996954"
}