How to save time in ADAS system development

Author: Thomas D’Hondt

As more cars move from passive to active safety systems, we are introduced to advanced technologies like adaptive cruise control, emergency braking, and lane keep assistance. All of which have a focus on saving lives. The European Union has stated that active safety system in vehicles will play a critical part in achieving the goal of zero deaths by 2050.

This same technology also paves the way towards self-driving cars.  As the autonomy increases, so does the cost of development. There is a need to develop not only smarter systems but also smarter tools and technologies to verify and validate those ADAS systems. Firstly, the time it takes to capture the needed raw data to train perception algorithms takes too long. Secondly, the amount of data you collect goes up exponentially as the complexity increases. Thirdly, this results in time delays in moving to get the correct data to the right people. Finally, once the data is in the right place, you still don’t know if you’ve captured everything you need. Did you find the critical unknown scenario?

If this is something, you are interested in learning more about, register for our upcoming webinar— “Four key steps to set up a smart and efficient ADAS testing workflow.

The four steps of gathering data for an ADAS system or self-driving cars

In the upcoming webinar Marc, Ian, and I will talk about the tools we have been developing and how they can help you collect, label, sort, and use your data efficiently. Reducing time, cost, and increasing productivity is our overall goal in creating the necessary tools for developing ADAS systems and self-driving cars.

The exciting future of self-driving cars

Looking to the future, I’m curious if traditional automotive companies will stop at level 3 or push on to the level 4 and 5. I believe that having a self-driving car can be extremely beneficial. But I’d be happy with a vehicle that can drive me from Brussels to Munich without my hands on the steering wheel. This level 3 – highway self-driving vehicle will likely be the next step. But it also comes with the need to develop systems that monitor the roads and the alertness of the driver. I, for one, find this to be an exciting future in technology development. Are you interested how to get there?

Mark in your agenda April 15, 2021 and join us for the webinar: Four key steps to set up a smart and efficient ADAS testing workflow

Want to stay up to date on news from Siemens Digital Industries Software? Click here to choose content that's right for you
This article first appeared on the Siemens Digital Industries Software blog at