Data-Driven Formal Reasoning and Their Applications in Safety Analysis of Vehicle Autonomy Features

Chuchu Fan; Bolun Qi; Sayan Mitra

doi:10.1109/MDAT.2018.2799804

Data-Driven Formal Reasoning and Their Applications in Safety Analysis of Vehicle Autonomy Features

Chuchu Fan, Bolun Qi, Sayan Mitra

Research output: Contribution to journal › Article › peer-review

Abstract

Analyzing the safety of automotive systems at the application level is-especially challenging as often very complex or even incomplete models are available. The authors combine formal reasoning with simulation data to effectively-validate safety or estimate worst case situations of automotive control systems.-Hans-Joachim Wunderlich, Universität Stuttgart.

Original language	English (US)
Pages (from-to)	31-38
Number of pages	8
Journal	IEEE Design and Test
Volume	35
Issue number	3
DOIs	https://doi.org/10.1109/MDAT.2018.2799804
State	Published - Jun 2018

Keywords

ASILs
Autonomous driving system
Risk analysis
Safety verification

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MDAT.2018.2799804

Cite this

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title = "Data-Driven Formal Reasoning and Their Applications in Safety Analysis of Vehicle Autonomy Features",

abstract = "Analyzing the safety of automotive systems at the application level is-especially challenging as often very complex or even incomplete models are available. The authors combine formal reasoning with simulation data to effectively-validate safety or estimate worst case situations of automotive control systems.-Hans-Joachim Wunderlich, Universit{\"a}t Stuttgart.",

keywords = "ASILs, Autonomous driving system, Risk analysis, Safety verification",

author = "Chuchu Fan and Bolun Qi and Sayan Mitra",

note = "Funding Information: This work is supported by the National Science Foundation{\textquoteright}s research Grants NSF CAREER 1054247 and NSF CSR 1422798. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2018",

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KW - Autonomous driving system

KW - Risk analysis

KW - Safety verification

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Data-Driven Formal Reasoning and Their Applications in Safety Analysis of Vehicle Autonomy Features

Abstract

Keywords

ASJC Scopus subject areas

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