“Driving education is out of reach for a lot of young people right now. It is expensive and driving schools are located in wealthy neighborhoods.. [What] we want to do is bring this education to where the young people are. Technology allows a lot of things to happen. We just integrated Google Maps 3D in our product. It will soon bd possible for people to virtually drive in their own neighborhood. As more people acquire VR headsets, so many things become possible. Smoothening the Way for Autonomous Driving Loeb has her sights also on the autonomous, self-driving market; since 2015, she has won nearly $2 million in research grants from leading automakers including General Motors, Ford, Toyota and Honda, and insurers like State Farm. The Pennsylvania chapter of the Tesla Owners Club is looking to use Jitsik’s driver training product for its members, while Audi and Toyota have shown interest in Jitsik’s self-driving product. MacDuffie visualized big opportunities for the autonomous driving space to benefit from the metaverse. He described the rough framework of how that might play out: Data captured from real-world autonomous driving would be fed into a mix also containing LiDAR information (Light Detection and Ranging), a remote-sensing technology that enhances the accuracy of self-driving cars, and other data from regular radar and cameras. All of that would be integrated in a process called “sensor fusion,” which combines data from these different sources. That integrated data would be processed by on a chip made by a company like NVIDIA, whose Omniverse platform is already driving many metaverse applications. That loaded chip would then deploy the “fused” data to power a digital twin of