Autonomous software vendor Oxbotica has developed a suite of tools that includes virtual world simulation, automated discovery of challenging scenarios and real-time data expansion.
The goal is to use artificial intelligence (AI) in the metaverse to accelerate the safe and efficient deployment of autonomous vehicle technology.
Called MetaDriver, the tools are used to test and refine autonomous vehicle operations and behaviors without ever needing to physically drive. The technology also provides the ability to build a digital twin representation from real-world gathered data.
MetaDriver offers edge-case discovery rates at an average of 1,000 times faster than traditional testing methods and up to 35,000 times faster in some situations. The data can be tested in all conditions including rain, snow, fog and at night, eliminating the need to wait for various weather conditions to occur during real-world testing.
Oxbotica said using the metaverse provides a way to enable unlimited test challenges to help accelerate autonomous vehicle commercial deployment. The MetaDriver allows for targeted and diverse testing to enable autonomous vehicle operators to safely, accurately and effectively navigate through specialized environments such as a city, an underground mine, wind farms, solar parks and airports.