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A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262
Assuring safety and thereby certifying is a key challenge of many kinds of Machine Learning (ML) Models. ML is one of the most widely used... -
Improvement of HILS Using Advanced Exploratory and Optimization Techniques for System Qualification Test
Global automakers are required to apply Automotive SPICE (A-SPICE) to evaluate the development capabilities and qualities of suppliers in addition to...
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Model-driven Approaches for ISO 26262 Work Products and DFA
This chapter presents two innovative approaches. The first approach describes the model-based development of ISO 26262 work products. The second... -
Einführung der zyklischen Diagnosedeckung
In diesem Kapitel 4 erfolgt der analytische Nachweis der Wirksamkeit zyklischer/periodischer Sicherheitsmechanismen in Form einer mathematisch... -
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Technische Sicherheitsmechanismen im Energiebordnetz
In diesem Kapitel wird das Themengebiet der technischen Sicherheitsmechanismen in das der funktionalen Sicherheit nach ISO 26262 im Kontext... -
Zusammenfassung, Ergebnis und Ausblick
Die Implementierung von technischen Sicherheitsmechanismen entspricht insbesondere im Bereich des Energiebordnetzes für automatisiertes Fahren dem... -
Hazard Analysis and Risk Assessment Based on Electric Power Steering According to ISO26262
ISO 26262 is a functional safety standard for Automotive Electrical and Electronic systems. Hazard Analysis and Risk Assessment (HARA) is an... -
Smart Autonomous Bike Hardware Safety Metrics
Automotive Safety Integrity Levels (ASIL) are the safety requirements set by the International Organization for Standardization (ISO 26262) protocol...