How to navigate ASIL requirements for GNSS automotive solutions
28 Jan 2025 12:00 - 13:00 EDT / EST (New York)
How to navigate ASIL requirements for GNSS automotive solutions
28.01.2025
12:00 - 13:00 EST (New York)
17:00 - 18:00 GMT (London)
The Automotive Safety Integrity Level (ASIL) is a risk classification system for road vehicles. ASIL is defined by the ISO 26262 standard and adapted from the Safety Integrity Level (SIL) guidance published in IEC 61508. To determine an ASIL rating, each vehicle system or component – such as an airbag or anti-lock braking system – is put through a full Hazard Analysis and Risk Assessment (HARA). This assessment identifies all the potential malfunctions that could lead to hazards or failures, and then evaluates the risks that could result from those failures.
When considering risk factors for an ASIL rating, engineers and developers assess the potential severity of a hazardous event (i.e. the seriousness of possible injuries); the level of exposure (the frequency of conditions that could lead to such an event); and the controllability (the ability of a driver to help avert injury). Determining the ASIL rating essentially comes down to assessing how likely an asset is to fail, what the consequences of that failure could be, whether injuries are a potential result and if so how severe, and any role for the driver in averting the failure.
The resulting ASIL rating of a particular component or system can fall into one of four main classifications – ASIL A through ASIL D – with ASIL A representing the lowest risk level and ASIL D the highest. An additional classification, QM (Quality Management), denotes non-hazardous items which require only standard quality management compliance. While not mandatory, an ASIL rating is widely seen as best practice in the connected automotive industry, and serious contenders for market share in this space must take considerable care over how their solutions will fare in an ASIL assessment and ensure they achieve a credible classification.
ASIL however, is evolving with the rapid development of automotive technology - for instance as advancements in AI, self-driving features and integration of components with IoT systems makes questions around controllability more complex. For example, a manufacturer may assess a component for an ASIL B rating, but once it is integrated with other systems, that level may be raised or lowered with additional hazard analyses and risk assessment.
Join this Masterclass webinar, held in partnership with Trimble, for an in-depth discussion on how to navigate the requirements of ASIL for GNSS automotive devices. The session will include a detailed explanation of how to achieve an ASIL B rating for automotive solutions by combining our LG69T (AB) raw data GNSS module with Trimble’s ProPoint® positioning engine and RTX correction service, ensuring compliance and optimal performance.
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Speakers
Christian Schmidt
Christian joined Trimble in 2014 as a QA engineer focused on automotive applications. In 2019, he moved to a role supporting the integration of the Trimble automotive positioning solution, serving as a lead engineer responsible for integration and validation testing. Since 2021, he has been leading the functional safety software development team.
Job title:
Project Lead - Functional Safety
Company:
Trimble
Brandon Oakes
Brandon is Quectel's Director of Sales for GNSS and short range products in North America and has been designing, supporting and selling wireless modules of all varieties for almost 20 years. He has an MSEE in Electromagnetics, an MBA in Finance and has created a career of bridging the gap between technical and business requirements.
Job title:
Director of Sales for GNSS, North America
Company:
Quectel
Agenda
Introduction to ASIL requirements
ASIL hardware solutions
ASIL software solutions