Metamoto accelerates the maturation of autonomous systems through massively scalable, scenario-based software training and testing.
Simulation is a critical differentiator in the development and validation of autonomous system software. While testing in the real world is also essential, Metamoto’s platform provides an environment for both testing and validation, which can be run 24 hours a day, 7 days a week across all key simulation modes in a modular fashion. Metamoto’s simulation as a service comes with a canon of existing scenes and scenarios and they have developed a one-of-a-kind pipeline for rapid publishing of scenes from 3D assets. Customers can create their own digital twin and begin testing at scale with Metamoto immediately.
Metamoto natively supports the Velodyne Ultra Puck (VLP-32C), Puck (VLP-16), and HDL-32 lidar sensors. Metamoto’s customers replicate their sensor configurations, which include these premier Velodyne sensors, along with other cameras, radar, lidar, GPS, IMU, V2X, HD maps, and more. The returns of these Velodyne lidar sensors are replicated as part of high-fidelity end-to-end closed-loop simulations of the customer’s unique autonomous system stacks.
Metamoto’s massively scalable, end-to-end platform is able to achieve perpetual coverage at scale via millions of simulations per day across all key simulation modes and highly-parameterized edge cases. The platform’s significant advantages include scalability, scenes/scenarios, sensor simulation, parameterization, object-level simulation, training/validation data, and a flexible open architecture with cloud/on-premise deployment options.