Smart mobility requires safe and reliable advanced driver assistance systems (ADAS). Those progress rapidly towards a higher level of driving automation. Partial or fully autonomous vehicles generate an enormous amount of data. Multiple ADAS sensors collect raw, authentic data on the roads. This real-life, unimpaired data is needed to accurately capture and reproduce the myriad of possible driving scenarios and situations. It is essential to the training and validation of the driving automation algorithms.
How can vehicle manufacturers efficiently capture and store this data?
Join the webinar, learn about the challenges associated with high-speed ADAS sensor and autonomous vehicle data collection for vehicle testing and validation, and how to effectively address them.
This webinar addresses the challenges of high-speed data collection for ADAS and autonomous vehicles. You will learn:
Siemens also introduces the Simcenter SCAPTOR hardware and software. The Simcenter SCAPTOR is part of Xcelerator, the comprehensive and integrated portfolio of software and services from Siemens Digital Industries Software. Simcenter SCAPTOR is one of the most fit-for-purpose systems for the capture of accurate ADAS raw data. It is part of the Simcenter portfolio of testing and simulation solutions for ADAS and autonomous vehicle development and constitutes a forward-looking system that supports the development of level 2 automation in vehicles as well as the implementation of future levels of automation in the transportation industry.
Creating autonomous vehicles demands agile, model-based development with integrated data flows and a heavy reliance on software-based simulation capabilities. Siemens Digital Industries Software offers a full set of autonomous vehicle solutions for all key technical domains, from chip design to full vehicle validation. Beyond ADAS sensor and autonomous vehicle data collection for testing and validation, attending the webinar will give you the opportunity to learn more about the Simcenter Portfolio for autonomous vehicle performance engineering.