• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Microcontroller Tips

Microcontroller engineering resources, new microcontroller products and electronics engineering news

  • Products
    • 8-bit
    • 16-bit
    • 32-bit
    • 64-bit
  • Applications
    • 5G
    • Automotive
    • Connectivity
    • Consumer Electronics
    • EV Engineering
    • Industrial
    • IoT
    • Medical
    • Security
    • Telecommunications
    • Wearables
    • Wireless
  • Learn
    • eBooks / Tech Tips
    • EE Training Days
    • FAQs
    • Learning Center
    • Tech Toolboxes
    • Webinars/Digital Events
  • Resources
    • Design Guide Library
    • LEAP Awards
    • Podcasts
    • White Papers
  • Videos
    • EE Videos & Interviews
    • Teardown Videos
  • EE Forums
    • EDABoard.com
    • Electro-Tech-Online.com
  • Engineering Training Days
  • Advertise
  • Subscribe

Simulation systems speeds development of self-driving vehicles

March 28, 2018 By Aimee Kalnoskas Leave a Comment

simulation systemSiemens has introduced a new simulation system for the development of autonomous driving systems. The solution, part of the Simcenter portfolio, minimizes the need for extensive physical prototyping while dramatically reducing the number of logged test miles necessary to demonstrate the safety of autonomous vehicles.

According to the findings of a report issued by the Rand Corporation, autonomous vehicle prototypes would have to be driven hundreds of millions of miles, and in some cases hundreds of billions of miles, over the course of several decades to demonstrate their reliability in terms of fatalities and injuries – an outcome the authors deemed inconsistent with the near-term commercial viability of self-driving cars. For possible solutions to these challenges, the researchers pointed to innovative testing methods such as advanced simulation technologies.

Leveraging advanced, physics-based simulation and innovative sensor data processing technologies, the new Siemens solution is designed to help automakers and their suppliers address this industry challenge with the potential to shave years off the development, verification and validation of self-driving cars.

The new solution integrates autonomous driving technologies from recent Siemens acquisitions Mentor Graphics and TASS International. TASS’ PreScan simulation environment produces highly realistic, physics-based simulated raw sensor data for an unlimited number of potential driving scenarios, traffic situations and other parameters. The data from PreScan’s simulated LiDAR, radar and camera sensors is then fed into Mentor’s DRS360 platform, where it is fused in real time to create a high-resolution model of the vehicle’s environment and driving conditions. Customers can then leverage the DRS360 platform’s superior perception resolution and high-performance processing to test and refine proprietary algorithms for critical tasks such as object recognition, driving policy and more.

To deliver the most comprehensive and accurate solution possible, Siemens PLM Software is working with many of the world’s leading manufacturers of LiDAR, radar and vision sensing products to develop physics-based, 3D simulated versions of specific sensor modules. Compatible with the new Siemens toolchain, the simulated sensors are attuned using detailed design information from sensor suppliers, and validated using real-world measurement data for optimal accuracy. One of the most important sensor partners is Cepton Technologies, an innovative Silicon Valley-based company notable for its long-range, small-footprint LiDAR sensors. Additional sensor partners will be announced later this year.

More information:  www.siemens.com/plm.

Filed Under: Applications, Automotive, Tools Tagged With: mentorgraphics, siemens

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar

Featured Contributions

Can chiplets save the semiconductor supply chain?

Navigating the EU Cyber Resilience Act: a manufacturer’s perspective

The intelligent Edge: powering next-gen Edge AI applications

Engineering harmony: solving the multiprotocol puzzle in IoT device design

What’s slowing down Edge AI? It’s not compute, it’s data movement

More Featured Contributions

EE TECH TOOLBOX

“ee
Tech Toolbox: Connectivity
AI and high-performance computing demand interconnects that can handle massive data throughput without bottlenecks. This Tech Toolbox explores the connector technologies enabling ML systems, from high-speed board-to-board and PCIe interfaces to in-package optical interconnects and twin-axial assemblies.

EE Learning Center

EE Learning Center

EE ENGINEERING TRAINING DAYS

engineering
“bills
“microcontroller
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

Footer

Microcontroller Tips

EE World Online Network

  • 5G Technology World
  • EE World Online
  • Engineers Garage
  • Analog IC Tips
  • Battery Power Tips
  • Connector Tips
  • EDA Board Forums
  • Electro Tech Online Forums
  • EV Engineering
  • Power Electronic Tips
  • Sensor Tips
  • Test and Measurement Tips

Microcontroller Tips

  • Subscribe to our newsletter
  • Advertise with us
  • Contact us
  • About us

Copyright © 2026 · WTWH Media LLC and its licensors. All rights reserved.
The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media.

Privacy Policy