PyFoReL: A Domain-Specific Language for Formal Requirements in Temporal Logic

Anderson, Jacob E.; Hekmatnejad, Mohammad; Fainekos, Georgios

doi:10.1109/re54965.2022.00037

Cited by 1 publication

(2 citation statements)

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“…Using STPL, we have been able to discover inconsistencies in publicly available training datasets for AV/ADAS. Since STPL formulas are rather complex even for experts, we have been working toward developing a DSL called PyFoReL (Anderson et al (2022)) for easier elicitation and maintenance of STPL requirements. PyFoReL provides a Pythonic language to compose requirements in a modular way while enforcing that they are valid STPL formulas.…”

Section: Discussionmentioning

confidence: 99%

“…One common challenge with any formal language is its accessibility to users with limited experience in formal requirements. In order to remove such barriers, Anderson et al (2022) developed PyFoReL which is a domain specific language (DSL) for STPL inspired by Python and integrated with Visual Studio Code. In addition, our publicly available toolbox contains all the examples and case studies presented in this paper which can be used as a tutorial by users without prior experience in formal languages.…”

Section: Introductionmentioning

confidence: 99%

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Formalizing and evaluating requirements of perception systems for automated vehicles using spatio-temporal perception logic

Hekmatnejad,

Hoxha,

Deshmukh

et al. 2024

The International Journal of Robotics Research

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Automated vehicles (AV) heavily depend on robust perception systems. Current methods for evaluating vision systems focus mainly on frame-by-frame performance. Such evaluation methods appear to be inadequate in assessing the performance of a perception subsystem when used within an AV. In this paper, we present a logic—referred to as Spatio-Temporal Perception Logic (STPL)—which utilizes both spatial and temporal modalities. STPL enables reasoning over perception data using spatial and temporal operators. One major advantage of STPL is that it facilitates basic sanity checks on the functional performance of the perception system, even without ground truth data in some cases. We identify a fragment of STPL which is efficiently monitorable offline in polynomial time. Finally, we present a range of specifications for AV perception systems to highlight the types of requirements that can be expressed and analyzed through offline monitoring with STPL.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%