UL 4600: Fault Model : Sensors
- Date
- 2028-06-24
- Location
- Online
- Host
- UL 4600 (Functional Safety)
About this event
Sensors are where autonomy meets the real world, and they are often where fault assumptions become dangerously vague. This session focuses on UL 4600 fault modeling for sensors with the level of specificity that safety-critical systems demand: what can fail, how those failures show up, and how to reason about them in a way that is useful for engineering, assurance, and review. About the Event This is a virtual community meetup centered on the sensor portion of a UL 4600 fault model discussion. The goal is to create a practical working conversation around how sensor-related faults should be identified, categorized, and communicated when building or evaluating autonomous and safety-related systems. Rather than treating sensors as a generic subsystem, the event puts attention on the messy det
Who should attend
This is for people who want a more precise way to think and talk about sensor faults in the context of UL 4600. - You work on **sensors, perception, autonomy, robotics, or ADAS/AV-related systems** and want a better framework for identifying realistic failure modes. - You are a **safety engineer, systems engineer, or assurance lead** who needs sensor fault modeling that is defensible, not just high-level. - You contribute to **verification, validation, test, or simulation** and want sharper fault assumptions to guide scenarios, coverage, and evidence. - You review architectures, hazards, or safety cases and need to ask more targeted questions about **sensor limitations, degradation, and observability**. - You are part of a cross-functional team and want a stronger shared vocabulary between **hardware, software, perception, and safety stakeholders**. - You value **community discussion and peer exchange** with others working through similar technical and assurance challenges. If you have ever felt that a sensor fault list was either too generic to help or too narrow to trust, this meetup will likely feel directly relevant.