industry news
Subscribe Now

Developing Autonomous Vehicles Faster with End-to-End Solutions from dSPACE on Microsoft Azure

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

San Jose (Silicon Valley), CA, December 3, 2020. dSPACE will offer customers its comprehensive solutions for data-driven development of advanced driver assistance systems (ADAS) and autonomous driving (AD) on the Microsoft cloud computing platform Azure. 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.

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 leading supplier to the automotive industry, dSPACE offers mature and proven end-to-end 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.

Sanjay Ravi, General Manager Automotive Industry at Microsoft says, “Establishing an end-to-end workflow across all phases of autonomous vehicle development is a challenging technical and logistical endeavor. 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.”

About dSPACE

dSPACE is a leading provider of solutions for developing connected, autonomous, and electrically powered vehicles. Particularly automotive manufacturers and their suppliers use the company’s end-to-end solution range to test the software and hardware components of their new vehicles long before a new model is allowed on the road. dSPACE is not only a sought-after development partner in vehicle development. Engineers also rely on our dSPACE know-how in aerospace and industrial automation. Our portfolio ranges from end-to-end solutions for simulation and validation to engineering and consulting services as well as training and support. With approximately1,800 employees worldwide, dSPACE is headquartered in Paderborn, Germany; has three project centers in Germany; and serves customers through regional dSPACE companies in the USA, the UK, France, Japan, China, and Croatia.

Leave a Reply

featured blogs
Apr 25, 2024
Structures in Allegro X layout editors let you create reusable building blocks for your PCBs, saving you time and ensuring consistency. What are Structures? Structures are pre-defined groups of design objects, such as vias, connecting lines (clines), and shapes. You can combi...
Apr 25, 2024
See how the UCIe protocol creates multi-die chips by connecting chiplets from different vendors and nodes, and learn about the role of IP and specifications.The post Want to Mix and Match Dies in a Single Package? UCIe Can Get You There appeared first on Chip Design....
Apr 18, 2024
Are you ready for a revolution in robotic technology (as opposed to a robotic revolution, of course)?...

featured video

How MediaTek Optimizes SI Design with Cadence Optimality Explorer and Clarity 3D Solver

Sponsored by Cadence Design Systems

In the era of 5G/6G communication, signal integrity (SI) design considerations are important in high-speed interface design. MediaTek’s design process usually relies on human intuition, but with Cadence’s Optimality Intelligent System Explorer and Clarity 3D Solver, they’ve increased design productivity by 75X. The Optimality Explorer’s AI technology not only improves productivity, but also provides helpful insights and answers.

Learn how MediaTek uses Cadence tools in SI design

featured paper

Designing Robust 5G Power Amplifiers for the Real World

Sponsored by Keysight

Simulating 5G power amplifier (PA) designs at the component and system levels with authentic modulation and high-fidelity behavioral models increases predictability, lowers risk, and shrinks schedules. Simulation software enables multi-technology layout and multi-domain analysis, evaluating the impacts of 5G PA design choices while delivering accurate results in a single virtual workspace. This application note delves into how authentic modulation enhances predictability and performance in 5G millimeter-wave systems.

Download now to revolutionize your design process.

featured chalk talk

IoT Data Analysis at the Edge
No longer is machine learning a niche application for electronic engineering. Machine learning is leading a transformative revolution in a variety of electronic designs but implementing machine learning can be a tricky task to complete. In this episode of Chalk Talk, Amelia Dalton and Louis Gobin from STMicroelectronics investigate how STMicroelectronics is helping embedded developers design edge AI solutions. They take a closer look at the benefits of STMicroelectronics NanoEdge-AI® Studio and  STM32Cube.AI and how you can take advantage of them in your next design. 
Jun 28, 2023
34,611 views