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.

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…

Simcenter SCAPTOR - Collecting ADAS data

How to avoid ADAS technology development failure

We are still smarter than the machine. But for how long? This is a question I’m bothered with every day….

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!…

How ADAS data collection helps accelerate the development of self-driving cars

[Webinar] Why is ADAS data collection an essential step for the development of self-driving cars? In the age of digitalization…

ADAS framework implementation

Relying on ADAS framework for autonomous driving

Relying on an ADAS framework is crucial to autonomous vehicle development. How can engineers implement this framework?

Automated driving system assessment – Siemens partners with IVEX

Siemens and IVEX are collaborating to create the most streamlined toolset available in the market for automated driving system assessment.

A car features a Simcenter SCAPTOR in the trunk for collection of ADAS sensor data on a busy street.

Why is ADAS sensor data collection crucial to the development of self-driving cars?

ADAS sensor data collection is critical to the development of automated vehicles. Discover Simcenter SCAPTOR, a high-speed in-vehicle solution