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arXiv · 1907.09603

Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture

Francisco Eiras·Morteza Lahijanian·Marta Kwiatkowska
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Abstract

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.

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Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska. 2019-07-22. Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture. https://doi.org/10.1109/cavs.2019.8887768

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