According to the Rand Corp., 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 safety reliability in all possible use cases. In March 2018, Siemens PLM Software introduced its breakthrough solution for the development of autonomous driving systems. It minimizes the need for extensive physical prototyping while dramatically reducing the number of logged test miles necessary to demonstrate the safety of autonomous driving (AD) systems.

Leveraging advanced, physics-based simulation and innovative sensor data processing technologies, the solution is designed to help automakers and their suppliers shave years off the development, verification, and validation of self-driving cars. The solution leverages PreScan technology to produce highly realistic, physics-based simulated raw sensor data for an unlimited number of potential driving scenarios, traffic situations, and other parameters. The data from the generated simulations is then fed into the DRS360 platform, a comprehensive AD sensor fusion and compute platform that handles critical tasks such as object recognition and driving policy.

With the Siemens PLM Software automated driving solution, AD systems developers can test a range of AD algorithms against a limitless number of simulated scenarios, enhancing and testing AD systems without needing to bear the cost and time penalties associated with realworld, physical testing. Siemens PLM Software is working to develop physics-based, 3D simulated versions of specific sensor modules, including with many of the world’s leading manufacturers of AV sensing products including Cepton Technologies for its long-range, small-footprint LiDAR sensors.


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