--- title: "An Autonomous Car Learned How to Drive IRL Inside a Simulation" description: "British self-driving-car software startup Wayve has figured out a way to teach an AV how to drive exclusively using a simulation — not real world streets." date: "2018-12-13" modified: "2018-12-13" authors: - name: "Victor Tangermann" job_title: "Senior Editor" link: "https://futurism.com/authors/victor" url: "https://futurism.com/wayve-sim2real-autonomous-car-teach-simulation" categories: - "Advanced Transport" - "Self-Driving Vehicles" tags: - "autonomous car" - "self driving" - "Simulation" - "wayve" --- # An Autonomous Car Learned How to Drive IRL Inside a Simulation ![British self-driving-car software startup Wayve has figured out a way to teach an AV how to drive exclusively using a simulation — not real world streets.]() *\Image: Wayve\* ## AV Driver's Ed Where does an autonomous car (AV) go to driving school? So far, most testing has taken place on real-world streets, which has led to [accidents]() and even [deaths](). Now Wayve — a team of researchers from Cambridge University developing artificial intelligence software for AVs — might have a much safer approach: they successfully taught a self-driving car how to drive exclusively [using a simulation](). In a demo, Wayve touts its Sim2Real project as being "the first time" that's ever been done successfully. https://youtu.be/D7ZglEPu4lM ## Sim Car Wayve's Sim2Real project takes a complex driving simulation inspired by real life — think of it as a basic, and terrible-looking video game — and teaches it to a self-driving car's AI. Voila: Wayve's car now knows how to drive on the real-life streets of Cambridge in the UK — without ever having driven them before. It's like that scene in "The Matrix" where they download kung fu into Neo's brain, except in this case, Neo is an AI. The driving model essentially fills in the gaps from what it has learned inside the simulation. It overlays what it has learned over data captured while driving down a real street, essentially aligning the 'matrix' over the real world. ## Unpredictable Streets Wayve's car drove itself for 1.9 miles (3 km) so far. But it has a lot more to learn about driving in the real world. At the end of the day, reality is far more complex than a simplistic driving simulation. Pedestrians or cyclists could complicate matters, for instance. But it's an interesting solution to a very real problem: testing autonomous vehicles — even with a safety driver behind the wheel — is proving to be pretty dangerous. Wayve's solution could buy developers a little more time before AVs hit the roads for good — and smooth the transition to self-driving in the process. **READ MORE:** [Simulation Training, Real Driving]() \[Wayve\] ***More on self-driving car learning: [A British Startup Is Using AI to Teach Cars to Drive Themselves]()*** ## Author I've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing. I've always been fascinated by space exploration and advanced transportation, which I've leaned into by interviewing luminaries in those fields while closely following the dimensions of policy and regulation that allow next-generation projects to succeed -- or, sometimes, to fail. I'm also keenly interested in the effects of generative AI on society, policies, and democratic institutions, as well as clean energy, physics and biology, and the vagaries of tech leadership. My work for Futurism has been cited by publications including Ars Technica, Gizmodo, PC Magazine, Jalopnik, Fox News, and the New York Post. I spent my childhood living in locations including Manila, the Philippines, and Geneva, Switzerland, attended McGill University, and now live in Toronto, Canada. Before Futurism I worked at AskMen and a small photography studio. In my free time, I'm an avid gardener, foodie, and craft beer lover, as well as a maker of artisanal hot pepper sauces. I have a magnificent dog named Freida. ### Author social links [Bluesky]()