Hybrid Spatio-Temporal Logic for Automotive Applications: Modeling and Model-Checking

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Authors: Radu-Florin Tulcan, Rose Bohrer, Yoàv Montacute, Kevin Zhou, Yusuke Kawamoto, Ichiro Hasuo A
Cited by: 0

Abstract

This artifact implements in Python the three model-checking algorithms for Hybrid Spatiotemporal Logic for Automotive Safety introduced in the paper "Hybrid Spatiotemporal Logic for Automotive Applications: Modeling and Model-Checking": a baseline algorithm, an optimized variant, and a motion-based algorithm. By default, the artifact is configured to reproduce the test cases and benchmarks from the paper, but the user can also define and analyze new scenarios by following the provided documentation of the specification language.

Fields of Study & Subjects

Formal Methods in Verification Logic Reasoning and Knowledge Safety Systems Engineering in Autonomy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN