Research into safety in autonomous and semi-autonomous vehicles has, so far, largely been focused on testing and validation through simulation. Due to the fact that failure of these autonomous systems is potentially life-endangering, formal methods arise as a complementary approach. This paper studies the application of formal methods to the verification of a human driver model built using the cognitive architecture ACT-R, and to the design of correct-by-construction Advanced Driver Assistance Systems (ADAS). The novelty lies in the integration of ACT-R in the formal analysis and an abstraction technique that enables finite representation of a large dimensional, continuous system in the form of a Markov process. The situation considered is a multi-lane highway driving scenario and the interactions that arise. The efficacy of the method is illustrated in two case studies with various driving conditions.
@article{arxiv.1907.09603,
title = {Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture},
author = {Francisco Eiras and Morteza Lahijanian and Marta Kwiatkowska},
journal= {arXiv preprint arXiv:1907.09603},
year = {2020}
}