Developing Autonomous Vehicles Faster

dSPACE will work with Microsoft to offer research and development engineers in the automotive industry an end-to-end solution that is scalable, secure, efficient and agile, dSPACE reports.

dSPACE will work with Microsoft to offer research and development engineers in the automotive industry an end-to-end solution that is scalable, secure, efficient and agile, dSPACE reports.

dSPACE is combining its comprehensive simulation portfolio with the highly scalable computing infrastructure of Microsoft Azure. Image courtesy of dSPACE.


dSPACE is offering its comprehensive solutions for data-driven development of advanced driver assistance systems (ADAS) and autonomous driving (AD) on the Microsoft cloud computing platform Azure, the company says. dSPACE will work with Microsoft to offer research and development engineers in the automotive industry an end-to-end solution that is scalable, secure, efficient and agile, dSPACE reports.

The development of ADAS/AD functions relies on capturing large volumes of data from the vehicle perception sensors, buses and networks, and on generating simulated scenarios to analyze the behavior of the software, individual systems and subsystems, as well as complete, integrated systems. The incoming data has to be enriched to a usable format, and it must be easy to distribute to teams working on AI-based development and data replay, as well as simulation and validation tasks. This requires a powerful, flexible, and centralized data storage system, as well as a scalable and computational infrastructure with AI- and ML-based tools that can run seamlessly in the same environment.

dSPACE will address these requirements by collaborating with Microsoft. As a supplier to the automotive industry, dSPACE offers mature solutions for the complete ADAS/AD simulation and validation process, including data logging, data enrichment, advanced simulation models, and data management software. This offering is complemented by the global, open, and scalable Microsoft cloud platform that allows businesses to innovate while meeting their security, privacy, and compliance requirements. 

This approach achieves an integrated end-to-end solution for data-driven development, allowing automotive OEMs and suppliers to focus on algorithm development to meet their time-to-market project goals. 

“We combine our comprehensive and mature simulation portfolio with the highly scalable computational infrastructure of Microsoft Azure so that our customers can take full advantage of best-in-class solutions of both areas,” says Tino Schulze, executive vice president Automated Driving & Software Solutions at dSPACE.

“Collaborating with Microsoft will enable us to further expand our expertise in the areas of cloud computing and big data. Together, we will tackle the challenges of our automotive customers, supporting them in getting self-driving cars on the road faster,” explains Martin Goetzeler, CEO of dSPACE.

“Establishing an end-to-end workflow across all phases of autonomous vehicle development is a challenging technical and logistical endeavor,” says Sanjay Ravi, general manager Automotive Industry at Microsoft. “By integrating their ADAS and AD systems with Microsoft Azure, dSPACE is empowering the automotive ecosystem with the power, flexibility, and scalability to support these data-rich and computation-intensive workloads.”

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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