Monitoring of Spatio-Temporal Properties with Nonlinear SAT Solvers

Pedro, André de Matos; Silva, Tomás; Sequeira, Tiago Neves; Lourenço, João; Seco, João Costa; Ferreira, Carla

doi:10.1007/978-3-031-15008-1_11

Formal Methods for Industrial Critical Systems

2022

DOI: 10.1007/978-3-031-15008-1_11

|View full text |Cite

Monitoring of Spatio-Temporal Properties with Nonlinear SAT Solvers

André de Matos Pedro¹,

Tomás Silva

Tiago Neves Sequeira³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Monitoring of spatio-temporal properties with nonlinear SAT solvers

Matos Pedro,

Silva,

Sequeira

et al. 2024

Int J Softw Tools Technol Transfer

View full text Add to dashboard Cite

The automotive industry is increasingly dependent on computing systems with different critical requirements. The verification and validation methods for these systems are now leveraging complex AI methods, for which the decision algorithms introduce non-determinism, especially in autonomous driving. This paper presents a runtime verification technique agnostic to the target system, which focuses on monitoring spatio-temporal properties that abstract the evolution of objects’ behavior in their spatial and temporal flow. First, a formalization of three known traffic rules (from the Vienna convention on road traffic) is presented, where a spatio-temporal logic fragment is used. Then, these logical expressions are translated to a monitoring model written in first-order logic, where they are processed by a non-linear satisfiability solver. Finally, the translation allows the solver to check the validity of the encoded properties according to an instance of a specific traffic scenario (a trace). The results obtained from our tool, which automatically generates a monitor from a formula, show that our approach is feasible for online monitoring in a real-world environment.

show abstract

Monitoring of spatio-temporal properties with nonlinear SAT solvers

Matos Pedro,

Silva,

Sequeira

et al. 2024

Int J Softw Tools Technol Transfer

View full text Add to dashboard Cite

show abstract

TSC2CARLA: An abstract scenario-based verification toolchain for automated driving systems

Borchers,

Koopmann,

Westhofen

et al. 2025

Science of Computer Programming

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Monitoring of Spatio-Temporal Properties with Nonlinear SAT Solvers

Cited by 2 publications

References 25 publications

Monitoring of spatio-temporal properties with nonlinear SAT solvers

Monitoring of spatio-temporal properties with nonlinear SAT solvers

TSC2CARLA: An abstract scenario-based verification toolchain for automated driving systems

Contact Info

Product

Resources

About