Technical Guides

HOW TO’S – GUIDES – BEST PRACTICES 

Featuring new technical guides, how-to’s and case studies for the application of ISO 26262 and best practice of functional safety . 

Meet Lee Harrison, and get an in depth understanding of the Siemens EDA Design-for-Test

Lee Harrison is an Automotive IC Solutions Manager at Siemens EDA. He has over 20 years of industry experience with Siemens Tessent test, and safety and security products with a focus on the automotive industry. Lee is working to ensure that current and future test, safety, security and analytics requirements of Siemens’ automotive customers are understood and met. Lee received his…

Key SOTIF Applications in Machine Learning, Reviewed

In the race to further situational-aware AVs, SOTIF is an essential component when developing intelligent systems. Semiconductors, AI algorithms, application software, sensor interface, and more, must not have any performance limitations and faults for what the system was designed. In this regard, there are some essential machine learning software and hardware faults and limitations that…

Battery Management System Safety Issues

Between 2020 and 2021, electric vehicle (EV) registrations in the U.S. alone grew by 117.4%year-over-year, according to Experian’s Automotive Market Trends Review: Q2 2021 report.With the rise of market adoption comes a series of challenges that the automotive industry iscurrently grappling with. So, what are the most pressing issues with regards to Battery Management Systems…

How the Security You Chose Affects Functional Safety

This content has been presented during The ISO 26262 Digital Conference. About Peter Davies, Director of Security Concepts, Thales: Peter is a security expert specialising in the convergence of Safety and Security. He is also a leading expert on countering cyber-attacks and supply chain infiltration. He has more than 30 years of experience verifying security systems…

Machine Learning in Automotive Safety Applications

Martin takes the audience back to basics when it comes down to discussing Machine Learning (ML) in Automotive Safety. He explains that ML is a subset of Artificial Intelligence (AI), and its application requires a specific strategy. About Martin Stock, SGS-TÜV Saar GmbH: Martin is Senior Safety Expert at SGS-TÜV, where he works as a…

Future Challenges That Traditional OEMs Face

This content has been presented during The ISO 26262 Digital Conference. About David Blackburn, Bentley Motors: David is Technical Expert on Functional Safety at Bentley Motors Ltd. Previously, he was Functional Safety Manager for the company, where he was responsible for Functional Safety (ISO 26262) within the Electrical Engineering department and coordination of Functional Safety…

This is How Functional Safety Managers Scored What Frustrates Them Most

We’ve been hosting informal digital get togethers, with old and new colleagues, industry contacts and really anyone who was up to sharing their views on translating the ISO 26262 into work products and processes. It has been quite interesting journey and while the community has been very keen in sharing solutions and lessons-learnt, they also…

Updates from the H2020 Research Project FOCETA – Foundations for Continuous Engineering of Trustworthy Autonomy

Applications are increasingly being developed based on complex autonomous systems driven by artificial intelligence. As smart robots are starting to replace humans in complicated or dangerous tasks on the road, in industry, or hospitals, their safety, autonomy, and trustworthiness are the subjects of concern. This is due to the increasing complexity of deployments, especially those…

ASIL: How to allocate, How to mix, What to consider

ASIL is an attribute of the safety goal derived from the hazard analysis of the functionality an system. It’s then propagated through the associated requirements and, in some cases, also modified. But what are the rules behind? Do we need to assign the same ASIL to all elements part of a safety system? What are…