GoMentum Station and Metamoto announce a new digital twin simulator to accelerate the development and testing of ADAS features and automated driving systems
Authored by Paul Wells
Applying autonomy to safety critical applications — most notably, autonomous vehicles — requires extensive verification and validation. The majority of this testing takes place in scalable simulation tools whereas much of validation and verification is still accomplished in the physical world. As such, correlation between these test modes remains an important consideration when evaluating and advancing the overall efficiency of test efforts.
Metamoto and GoMentum Station are excited to partner to offer the GoMentum Bunker City scene within Metamoto’s massively scalable, cloud-based simulator to help promote this connectivity. Using the GoMentum scene, developers are able to both drive efficiency and go deeper into specific validation subdomains. Contact us for more information about the digital twin.
Physical testing is notoriously resource intensive. To help drive costs down, developers and test engineers are faced with two key options: perform as much virtual testing as possible, and identify the smallest, but still significant, set of physical tests required to produce meaningful assurance and test results. Simulation, when integrated with physical test environments, is an incredibly powerful ally in both of these efforts.
In addition to supporting the overall development and advancement of an autonomous stack, virtual testing within a digital twin environment effectively allows for a faster and more efficient bug discovery process before deploying hardware and drivers into a physical environment. This reduces the likelihood of time-consuming troubleshooting that pops up during the precious time spent either on a track or on public roads. GoMentum, for example, is an unusual environment. The use of the Metamoto scene and simulator allows for virtual exploration of the environment such that static objects in the environment, like bunkers and tall grasses, and dynamic agents, such as cows, turkeys and the like, do not disrupt time spent on the track. Turnaround times thereby become faster, and the cycle between virtual and physical testing continues efficiently.
An added benefit of leveraging digital twins is the potential for parity into the conformance of virtual and physical test results. Due to the increasing importance of, and reliance on, simulation testing, understanding the relationship between virtual and physical test results is critical. This exploration of parity testing allows for greater awareness of the relationship between sample use cases and model fidelities leveraged in simulation. While the goal of this awareness is principally safety, it also has the potential to drive even greater use of simulation tools.
As part of the new GoMentum Bunker City Digital Twin, GoMentum and Metamoto invite industry and academic participants to partake in research projects covering feature development, parity testing, safety testing, and more.