The arrival of self-driving cars with sensor fusion and processing

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.

“Automakers are quickly realising that physical prototypes and road testing alone cannot reproduce the multitude of complex driving scenarios self-driving cars will encounter. In fact, many of the deadliest scenarios are impossible to reproduce, while others are so dangerous to reproduce that ethics preclude pre-testing,” said Dr. Jan Leuridan, Senior Vice President, Simulation and Test Solutions, Siemens PLM Software.

“It is clear that the near-term commercial availability of fully autonomous vehicles is highly dependent on advanced, physics-based simulation technologies, where Siemens is setting the pace for the larger worldwide automotive industry.”

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 Valleybased company notable for its long range, small footprint LiDAR sensors. Additional sensor partners will be announced later this year.

“Simulation technology is increasingly valuable to developers of automated vehicles as they face mounting pressures to speed development, validation, and performance of their AV solutions,” said Phil Magney, Founder and Principal for AV researcher VSI Labs.

“Siemens now offers simulation solutions for each stage in the development process from sensors, to processors, to sub-systems, to the entire vehicle. Having a greater scope in simulation solutions offers Siemens the ability to play a leading role in the validation and verification of automated vehicle solutions.”