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Titel:

Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman and Alois Knoll
Abstract:
With recent efforts to make vehicles intelligent, solutions based on machine learning have been accepted to the ecosystem. These systems in the automotive domain are growing fast, speeding up the promising future of highly and fully automated driving, and respectively, raising new challenges regarding safety assurance approaches. Uncertainty in data and the machine learning methods is a key point to investigate one of the main origins of safety-related concerns. In this work, we inspect this iss...     »
Kongress- / Buchtitel:
First International Workshop on Artificial Intelligence Safety Engineering
Kongress / Zusatzinformationen:
SAFECOMP Conference, Västerås, Sweden
Jahr:
2018
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