automotive

EV design requires an ability to address interrelated tasks in areas such as architecture, performance, lifetime, range and charging speed.

The computational and algorithmic demands made by computer vision systems highlight HLS' value for AI system development.

This defect and fault injection primer looks at how to standardize definitions, decide injection volume, measure activity, manage simulation, optimize test time and more.

How formal verification for the ISO26262 automotive functional safety delivers the full activation, propagation, and observation in the form of proven and exhaustive results.

How the digital twin can fuel automotive verification flows impossible in the real world.

How to use formal fault pruning, injection and sequential equivalency checking to meet the FMEA analysis requirements of the functional safety standard.

A new version of the automotive safety standard arrives later this year. Review the main updates and see how it will combine with the incoming SOTIF autonomous driving standard.

This second part looks at Mentor's views on flow neutrality, how DRS360 was born, machine learning and the threat from embedded Trojans.

Addressing the challenge of achieving ASIL D certification of the functional safety of an SoC for use in the safety-critical path of an automotive system.

Software validation strategies will become increasingly important as cars become more complex, connected and autonomous.