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Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures

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Published in:Autonomous Intelligent Systems
Format: Online Article RSS Article
Published: 2025
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container_title Autonomous Intelligent Systems
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:42849
institution FRELIP
journal_source_facet Autonomous Intelligent Systems
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
— — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
— — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
subject_facet — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
title Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
title_auth Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
title_full Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
title_fullStr Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
title_full_unstemmed Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
title_short Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
title_sort risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures
topic — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
url https://link.springer.com/article/10.1007/s43684-025-00112-1