Machine-Learned Correctness Properties, Runtime Verification, and Advance-Warning Oracles for Autonomous Systems

We describe machine-learned classifiers that act as correctness properties for runtime verification of autonomous systems. Additionally, we show an advance collision detection system using such machine learning correctness properties that provides an uncertainty measure alongside a prediction.

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Publication Details

Journal
Computer
Published
2024-09-23
DOI
https://doi.org/10.1109/mc.2024.3433669
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
2.10
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article

Machine-Learned Correctness Properties, Runtime Verification, and Advance-Warning Oracles for Autonomous Systems

Doron Drusinsky, Matthew Litton, James Bret Michael, London Bridget
2 citations
Computer
Scientific Computing and Data Management
2.10
article

Machine-Learned Correctness Properties, Runtime Verification, and Advance-Warning Oracles for Autonomous Systems

Doron Drusinsky, Matthew Litton, James Bret Michael, London Bridget
article en
2 citations

Abstract

We describe machine-learned classifiers that act as correctness properties for runtime verification of autonomous systems. Additionally, we show an advance collision detection system using such machine learning correctness properties that provides an uncertainty measure alongside a prediction.

ComputerVol. 57(10)
Naval Postgraduate School (US)
Openalex Percentile: Top 9%
Scientific Computing and Data Management
2.10
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