Making autonomous driving more humanlike to improve safety and comfort

Making autonomous driving safer and more comfortable starts with getting drivers to willingly accept safety features such as lane-keeping assistance.

Model-based design from ICEs to ICUs: Bridging the industries to improve software quality for medical devices

The events of the past few years have turned global attention towards health and, more specifically, healthcare. From the images…

Model-based verification and design optimization of controller calibration

In 1968, Volkswagen became the first company to use a computer in a car. The D-Jetronic, created by Bosch, controlled…

One bench to rule them all: Join our virtual vehicle energy management facility tour

Before you start reading this blog, think about all the different environments you’ve driven your car in. For example, in…

Test autonomous vehicles with custom algorithms in OpenSCENARIO designed experiments

Siemens announces the release of Simcenter Prescan 2021.3. To better test autonomous vehicles, this release introduces External Controller support for…

Artificial intelligence in automotive engineering: why now is the time

What opportunities for artificial intelligence in automotive engineering? Join Simcenter experts in a Q&A session

Closing the gap between the Digital Twin and physical hardware with system-in-the-loop testing

Automotive engineers today are faced with a conundrum: While the complexity of vehicle engineering has exploded, expected time to market has decreased rapidly.

How to use AI to reduce the Parameter ID process from weeks to minutes

The parameter ID process for automotive engineers typically takes weeks. Learn how Simcenter Engineering uses AI to reduce the process to minutes.

Most asked questions on data collection for ADAS validation

About 1.25 million people globally die each year due to road traffic crashes – that’s over 3400 deaths a day!…