automotive

December 22, 2017

Toward the ISO26262 update: Still fighting an old war?

A new version of automotive safety standard ISO 26262 is due in 2018 but how close to Level 5 autonomy will it actually take us? And what about security?
Article  |  Topics: Commentary, Standards  |  Tags: , , , , , ,   |  Organizations: ,
December 7, 2017

Discover how ST adapted HLS for automotive imaging

ST has tweaked its standard HLS flow for ISPs to meet the requirements of ISO 26262
August 11, 2017

Keynotes announced for DVCon Europe

DVCon Europe 2017 has announced two keynote speakers for the conference to be held in Munich, Germany in mid-October.
Article  |  Topics: Blog - EDA, Embedded  |  Tags: , , ,   |  Organizations:
July 7, 2017

How automotive test is evolving for the age of autonomous vehicles

Automotive test has never been easy. Safety made sure of that. But the move to autonomous vehicles is making it more challenging still.
June 16, 2017

DAC 2017 preview: Austemper Design

Local EDA vendor Austemper will be demonstrating a comprehensive functional safety design tool suite in Austin next week.
Article  |  Topics: Blog Topics  |  Tags: , , , ,   |  Organizations: ,
June 8, 2017

DAC 2017 preview: OneSpin

Formal, AI and UVM form key parts of the OneSpin agenda for this year's Design Automation Conference.
May 24, 2017

Austemper tools straddle the functional-safety flow

Austemper Design Systems has launched a portfolio of tools that span the development lifecycle of projects that need to demonstrate functional safety.
May 12, 2017

Toshiba case study describes advanced thermal simulation

Japanese giant uses variable thermal simulation on automotive IC intended for harsh environments.
May 2, 2017

Wally Rhines looks beyond ‘endless verification’ to the system era

DVCon China saw Mentor's chairman and CEO give a typically thorough keynote on the evolving challenges for verification.
April 6, 2017

Leverage AI and centralized processing for L-5 autonomous vehicles

L-5 autonomous vehicles need centralized raw data analysis with machine learning to cope with the demands of ASIL-D functional safety. Mentor's response is DRS360.

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