Oxbotica uses powerful AI in the metaverse to speed the safe and economical deployment of autonomous vehicle technologies while lowering carbon emissions. The debut comes weeks after Oxbotica announced the first safe and sustainable deployment of a zero-occupancy, fully autonomous electric car in Europe.
Oxbotica MetaDriver provides virtual world simulation, automatic scenario discovery, and real-time data expansion
MetaDriver develops a “vast” library of scenarios for testing and refining autonomous vehicle operations and behaviors without physically driving in them, boosting commercial readiness. The technique creates a digital twin using real-world data.
The system’s AI automatically seeks for uncommon, unique, and unknown circumstances, called “edge cases.” This lets autonomous systems test “corner cases” and learn to manage them. MetaDriver offers edge-case discovery speeds up to 35,000 times quicker than typical testing approaches.
By leveraging MetaDriver’s data expansion, each “meta mile” may be evaluated in all weather situations, including rain, snow, fog, at night or during the day, removing the need to wait for real-world testing. MetaDriver’s quick, focused, and diversified testing, according to the business, will provide autonomous vehicle owners confidence that their cars can function safely, precisely, and effectively in a city, mine, wind farm, solar park, or airport.
Paul Newman, Oxbotica’s founder and CTO, said MetaDriver delivers more than simulation. “Using the metaverse in this manner gives us and our clients almost endless test challenges, enabling commercial deployment of autonomous vehicles to move the Earth.
“MetaDriver lets us cover long distances without driving. The autonomous vehicle business has over-indexed on kilometers traveled as a synonym for safety, but we worry about challenging cases, not limitless miles. Oxbotica MetaDriver is a fresh and intriguing solution.
For MetaNews.