research-article

Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines

Authors:

Hamid Tabani,

Leonidas Kosmidis,

Jaume Abella,

Francisco J. Cazorla,

Guillem BernatAuthors Info & Claims

DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019

Article No.: 9, Pages 1 - 6

https://doi.org/10.1145/3316781.3317779

Published: 02 June 2019 Publication History

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Abstract

The complexity and size of Autonomous Driving (AD) software are comparably higher than that of software implementing other (standard) functionalities in the car. To make things worse, a big fraction of AD software is not specifically designed for the automotive (or any other critical) domain, but the mainstream market. This brings uncertainty on to which extent AD software adheres to guidelines in safety standards. In this paper, we present our experience in applying ISO 26262 -- the applicable functional safety standard for road vehicles -- software safety guidelines to industrial AD software, in particular, Apollo, a heterogeneous Autonomous Driving framework used extensively in industry. We provide quantitative and qualitative metrics of compliance for many ISO 26262 recommendations on software design, implementation, and testing.

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Perez-Cerrolaza JAbella JBorg MDonzella CCerquides JCazorla FEnglund CTauber MNikolakopoulos GFlores J(2024)Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A SurveyACM Computing Surveys10.1145/362631456:7(1-40)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3626314
Boi BGupta TRinhel MJubea IKhondoker REsposito CSousa B(2023)Strengthening Automotive Cybersecurity: A Comparative Analysis of ISO/SAE 21434-Compliant Automatic Collision Notification (ACN) SystemsVehicles10.3390/vehicles50400965:4(1760-1802)Online publication date: 4-Dec-2023
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Abella JPerez JEnglund CZonooz BGiordana GDonzella CCazorla FMezzetti ESerra IBrando AAgirre IEizaguirre FBui TArani ESarfraz FBalasubramaniam ABadar ABloise IFeruglio LCinelli IBrighenti DCunial D(2023)SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE56975.2023.10137128(1-6)Online publication date: May-2023
https://doi.org/10.23919/DATE56975.2023.10137128
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DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019

June 2019

1378 pages

ISBN:9781450367257

DOI:10.1145/3316781

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

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Published: 02 June 2019

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Funding Sources

Spanish Ministry of Economy and Competitiveness (MINECO)
Ramon y Cajal postdoctoral fellowship
European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
Juan de la Cierva-Formación postdoctoral fellowship

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DAC '19

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SIGDA

DAC '19: The 56th Annual Design Automation Conference 2019

June 2 - 6, 2019

NV, Las Vegas, USA

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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DAC '25

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62nd ACM/IEEE Design Automation Conference

June 22 - 26, 2025

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Perez-Cerrolaza JAbella JBorg MDonzella CCerquides JCazorla FEnglund CTauber MNikolakopoulos GFlores J(2024)Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A SurveyACM Computing Surveys10.1145/362631456:7(1-40)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3626314
Boi BGupta TRinhel MJubea IKhondoker REsposito CSousa B(2023)Strengthening Automotive Cybersecurity: A Comparative Analysis of ISO/SAE 21434-Compliant Automatic Collision Notification (ACN) SystemsVehicles10.3390/vehicles50400965:4(1760-1802)Online publication date: 4-Dec-2023
https://doi.org/10.3390/vehicles5040096
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https://doi.org/10.23919/DATE56975.2023.10137128
Alcon MTabani HAbella JCazorla F(2023)Dynamic and execution views to improve validation, testing, and optimization of autonomous driving softwareSoftware Quality Journal10.1007/s11219-022-09609-x31:2(405-439)Online publication date: 15-Feb-2023
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