Investigation of Formal Verification of Autonomous Vehicle Control Systems Through Specification Translation from Cafeobj to Real-Time Maude

This study investigates the formal specification and verification of autonomous vehicle control systems through specification translation between CafeOBJ and Real-Time Maude. The research models the autonomous vehicle control system as a hybrid au-tomaton to capture both continuous and discrete dynamics. By leveraging the strengths of theorem proving with CafeOBJ and model checking with Real-Time Maude, this approach aims to enhance the safety and reliability of autonomous vehicle systems. The study demonstrates the efficacy of this method in confirming the safety properties of the control system, providing a robust framework for future development and validation of autonomous driving technologies.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icmlc63072.2024.10935142
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
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article

Investigation of Formal Verification of Autonomous Vehicle Control Systems Through Specification Translation from Cafeobj to Real-Time Maude

Masaki Nakamura, Ryo Takano, Yifan Wang, Takuya Matsumoto et al.
Model-Driven Software Engineering Techniques
article

Investigation of Formal Verification of Autonomous Vehicle Control Systems Through Specification Translation from Cafeobj to Real-Time Maude

Masaki Nakamura, Ryo Takano, Yifan Wang, Takuya Matsumoto, Kazutoshi Sakakibara
article en

Abstract

This study investigates the formal specification and verification of autonomous vehicle control systems through specification translation between CafeOBJ and Real-Time Maude. The research models the autonomous vehicle control system as a hybrid au-tomaton to capture both continuous and discrete dynamics. By leveraging the strengths of theorem proving with CafeOBJ and model checking with Real-Time Maude, this approach aims to enhance the safety and reliability of autonomous vehicle systems. The study demonstrates the efficacy of this method in confirming the safety properties of the control system, providing a robust framework for future development and validation of autonomous driving technologies.

Toyama Prefectural University (JP)
Openalex Percentile: Top 71%
Model-Driven Software Engineering Techniques
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