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  • Using TASS’ PreScan virtual sensor imagery with the Mentor DRS360 platform can automate the development of algorithms for sensor fusion and processing
  • New partnership established with Cepton for physics-based LiDAR modeling

Siemens introduced a breakthrough solution 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 testing methods such as advanced simulation technologies.

Leveraging physics-based simulation and 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 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 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, a Silicon Valley-based company notable for its long-range, small-footprint LiDAR sensors. Additional sensor partners will be announced later this year.

Source: Siemens