A review on AI Safety in highly automated driving

A review on AI Safety in highly automated driving

Remarkable progress in the fields of machine learning (ML) and artificial intelligence (AI) has led to an increased number of applications of (data-driven) AI systems for the partial or complete control of safety-critical systems. Recently, ML solutions have been particularly popular. Such approache...

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Bibliographic Details
Main Authors: Moritz Wäschle, Florian Thaler, Axel Berres, Florian Pölzlbauer, Albert Albers
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Artificial Intelligence
Subjects:
AI Safety
systematic literature review
highly automated driving
value alignment
adversarial robustness
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.952773/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.952773/full

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