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Making the Case for Safety of Machine Learning in Highly ...
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由 S Burton 著作2017被引用 168 次 — This paper describes the challenges involved in arguing the safety of highly automated driving functions which make use of machine learning techniques.
Making the Case for Safety of Machine Learning in Highly ...
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An assurance case structure is used to highlight the systems engineering and validation considerations when applying machine learning methods for highly ...
Making the Case for Safety of Machine Learning in Highly ...
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This paper describes the challenges involved in arguing the safety of highly automated driving functions which make use of machine learning techniques.
Making the Case for Safety of Machine Learning in Highly ...
DBLP
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2022年12月25日 — Simon Burton, Lydia Gauerhof , Christian Heinzemann: Making the Case for Safety of Machine Learning in Highly Automated Driving.
Making the Case for Safety of Machine Learning applied ...
High Integrity Software Conference 2024
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High Integrity Software Conference 2024
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This talk examines the various forms in which machine learning can be applied to automated driving and the resulting functional safety challenges.
Making the Case for Safety of Machine Learning in Highly ...
OUCI
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Making the Case for Safety of Machine Learning in Highly Automated Driving · List of references · Publications that cite this publication.
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[Lecture Notes in Computer Science] Computer Safety, Reliability, and ... Making the Case for Safety of Machine Learning in Highly Automated Driving. , ...
A comprehensive approach to safety for highly automated ...
ScienceDirect.com
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由 M de Koning 著作2024被引用 3 次 — A systematic mapping study on safety in automated systems highlights focus on safety constraints and fault-tolerant structures for AI/ML integration. •.
A review on AI Safety in highly automated driving
Frontiers
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由 M Wäschle 著作2022被引用 19 次 — 1. ML can create new hazards not due to malfunctioning of the component but due to the complex interaction with humans. 2. Due to its novel development cycle ...
Assuring the safety of highly automated driving: state-of-the ...
University of York
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The dominant challenges facing the safety assurance of highly automated driving systems are therefore the derivation and validation of system safety goals that ...
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