Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey

Autonomous vehicles represents a ground-breaking transportation technology which has the potential to provide many benefits to the society. To fully utilize this technology, it is essential that the autonomous vehicle maintains safe behavior under different conditions and in case of failures. Fail-d...

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Detalles Bibliográficos
Autores: Hossam, Abdallah, Villagrá, Jorge, Navas, Francisco, Milanes, Vicente
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/419394
Acceso en línea:http://hdl.handle.net/10261/419394
Access Level:acceso abierto
Palabra clave:Autonomous vehicles
safety
fault tolerance
adaptive systems
uncertainty
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spelling Scalable Fail-degraded Systems for Autonomous Vehicles - A SurveyHossam, AbdallahVillagrá, JorgeNavas, FranciscoMilanes, VicenteAutonomous vehiclessafetyfault toleranceadaptive systemsuncertaintyAutonomous vehicles represents a ground-breaking transportation technology which has the potential to provide many benefits to the society. To fully utilize this technology, it is essential that the autonomous vehicle maintains safe behavior under different conditions and in case of failures. Fail-degraded strategies allow the vehicle to react safely to these situations, while maintaining to some extent the vehicle’s autonomous functionality. However, defining a framework for scalable fail-degraded systems, given the system’s complexity, remains to be a challenge. This paper focuses on identifying concepts and tools that enables scalable fail-degraded behavior for autonomous vehicles. The article includes a taxonomy to clarify holistic monitoring and representation concepts. Based on these concepts, scalable monitoring techniques are identified and classified. Afterwards,safety reasoning frameworks and adaptation mechanisms for fail-degraded autonomous vehicles are discussed. According to the discussed literature, several research gaps are identified.This work was supported in part by European Commission through the Project SUNRISE under Grant 101069573Peer reviewedInstitute of Electrical and Electronics EngineersEuropean CommissionHossam, Abdallah [0009-0008-6104-0344]Villagrá, Jorge [0000-0002-3963-7952]Navas, Francisco [0000-0002-6066-0612]Milanes, Vicente [0000-0001-7096-6925]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/419394reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/HE/101069573https://doi.org/10.1109/TITS.2025.3612262Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4193942026-05-22T06:33:51Z
dc.title.none.fl_str_mv Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
title Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
spellingShingle Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
Hossam, Abdallah
Autonomous vehicles
safety
fault tolerance
adaptive systems
uncertainty
title_short Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
title_full Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
title_fullStr Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
title_full_unstemmed Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
title_sort Scalable Fail-degraded Systems for Autonomous Vehicles - A Survey
dc.creator.none.fl_str_mv Hossam, Abdallah
Villagrá, Jorge
Navas, Francisco
Milanes, Vicente
author Hossam, Abdallah
author_facet Hossam, Abdallah
Villagrá, Jorge
Navas, Francisco
Milanes, Vicente
author_role author
author2 Villagrá, Jorge
Navas, Francisco
Milanes, Vicente
author2_role author
author
author
dc.contributor.none.fl_str_mv European Commission
Hossam, Abdallah [0009-0008-6104-0344]
Villagrá, Jorge [0000-0002-3963-7952]
Navas, Francisco [0000-0002-6066-0612]
Milanes, Vicente [0000-0001-7096-6925]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Autonomous vehicles
safety
fault tolerance
adaptive systems
uncertainty
topic Autonomous vehicles
safety
fault tolerance
adaptive systems
uncertainty
description Autonomous vehicles represents a ground-breaking transportation technology which has the potential to provide many benefits to the society. To fully utilize this technology, it is essential that the autonomous vehicle maintains safe behavior under different conditions and in case of failures. Fail-degraded strategies allow the vehicle to react safely to these situations, while maintaining to some extent the vehicle’s autonomous functionality. However, defining a framework for scalable fail-degraded systems, given the system’s complexity, remains to be a challenge. This paper focuses on identifying concepts and tools that enables scalable fail-degraded behavior for autonomous vehicles. The article includes a taxonomy to clarify holistic monitoring and representation concepts. Based on these concepts, scalable monitoring techniques are identified and classified. Afterwards,safety reasoning frameworks and adaptation mechanisms for fail-degraded autonomous vehicles are discussed. According to the discussed literature, several research gaps are identified.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/419394
url http://hdl.handle.net/10261/419394
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/HE/101069573
https://doi.org/10.1109/TITS.2025.3612262
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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